mirror of
https://github.com/pewdiepie-archdaemon/odysseus.git
synced 2026-07-10 12:17:11 +00:00
pewdiepie-archdaemon
15728 lines
411 KiB
JSON
15728 lines
411 KiB
JSON
[
|
||
{
|
||
"name": "mlx-community/Devstral-Small-2505-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.68354B",
|
||
"parameters_raw": 3683537920,
|
||
"min_ram_gb": 3.1,
|
||
"recommended_ram_gb": 4.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 66257,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-05-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Devstral Small 2505",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-0.6B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 39254,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-05-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/whisper-large-v3-mlx",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 38989,
|
||
"hf_likes": 93,
|
||
"release_date": "2026-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Whisper",
|
||
"description": "OpenAI Whisper speech recognition models in MLX format",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-27b-it-qat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 16.5,
|
||
"recommended_ram_gb": 20.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 34370,
|
||
"hf_likes": 23,
|
||
"release_date": "2025-04-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 QAT",
|
||
"description": "Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/diffusiongemma-26B-A4B-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "26B",
|
||
"parameters_raw": 26000000000,
|
||
"min_ram_gb": 15.9,
|
||
"recommended_ram_gb": 19.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 26614,
|
||
"hf_likes": 32,
|
||
"release_date": "2026-06-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffusionGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-0.6B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 22696,
|
||
"hf_likes": 14,
|
||
"release_date": "2025-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.3-70B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 41.2,
|
||
"recommended_ram_gb": 49.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 14235,
|
||
"hf_likes": 35,
|
||
"release_date": "2024-12-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kokoro-82M-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "82M",
|
||
"parameters_raw": 82000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 14162,
|
||
"hf_likes": 56,
|
||
"release_date": "2025-12-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kokoro TTS",
|
||
"description": "Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers amazing quality.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3.1-8B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 11431,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-10-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-V4-Flash-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "284.333B",
|
||
"parameters_raw": 284333146519,
|
||
"min_ram_gb": 164.5,
|
||
"recommended_ram_gb": 193.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10061,
|
||
"hf_likes": 23,
|
||
"release_date": "2026-04-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek V4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/diffusiongemma-26B-A4B-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "26B",
|
||
"parameters_raw": 26000000000,
|
||
"min_ram_gb": 30.9,
|
||
"recommended_ram_gb": 37.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 9630,
|
||
"hf_likes": 14,
|
||
"release_date": "2026-06-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffusionGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12b-coder-fable5-composer2.5-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 14.8,
|
||
"recommended_ram_gb": 18.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9322,
|
||
"hf_likes": 21,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4-12b-coder-fable5-composer2.5",
|
||
"description": "MLX conversions of Gemma-4-12b-coder-fable5-composer2.5 for Apple Silicon Chips",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Coder-30B-A3B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8470,
|
||
"hf_likes": 29,
|
||
"release_date": "2025-08-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-Coder-MoE",
|
||
"description": "💻 Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving ~Claude Sonnet.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.3-70B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 81.5,
|
||
"recommended_ram_gb": 96.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8078,
|
||
"hf_likes": 15,
|
||
"release_date": "2024-12-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Nemo-Instruct-2407-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7675,
|
||
"hf_likes": 15,
|
||
"release_date": "2024-11-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral NeMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen1.5-0.5B-Chat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "500M",
|
||
"parameters_raw": 500000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7458,
|
||
"hf_likes": 4,
|
||
"release_date": "2024-04-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen1.5",
|
||
"description": "Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3.1-8B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7320,
|
||
"hf_likes": 10,
|
||
"release_date": "2024-11-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-8Bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6670,
|
||
"hf_likes": 19,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UNCENSORED Qwen 3.6 27B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Coder-480B-A35B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "480B",
|
||
"parameters_raw": 480000000000,
|
||
"min_ram_gb": 277.0,
|
||
"recommended_ram_gb": 326.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6442,
|
||
"hf_likes": 19,
|
||
"release_date": "2025-07-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-Coder-MoE",
|
||
"description": "💻 Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving ~Claude Sonnet.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Next-80B-A3B-Thinking-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "80B",
|
||
"parameters_raw": 80000000000,
|
||
"min_ram_gb": 47.0,
|
||
"recommended_ram_gb": 56.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6159,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-09-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 Next",
|
||
"description": "Alibaba's first hybrid model, designed to cut resources and speed things up.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E2B-it-lm-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6032,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-06-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n - Text Only (LM)",
|
||
"description": "Google's Gemma 3n converted to MLX using mlx-lm",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.5-Air-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 123.9,
|
||
"recommended_ram_gb": 146.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5830,
|
||
"hf_likes": 9,
|
||
"release_date": "2025-07-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.5-Air",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Next-80B-A3B-Thinking-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "80B",
|
||
"parameters_raw": 80000000000,
|
||
"min_ram_gb": 93.0,
|
||
"recommended_ram_gb": 110.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5766,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-09-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 Next",
|
||
"description": "Alibaba's first hybrid model, designed to cut resources and speed things up.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12b-coder-fable5-composer2.5-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5373,
|
||
"hf_likes": 13,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4-12b-coder-fable5-composer2.5",
|
||
"description": "MLX conversions of Gemma-4-12b-coder-fable5-composer2.5 for Apple Silicon Chips",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-E2B-it-qat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 4816,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12B-it-qat-assistant-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4787,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 MTP QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-26B-A4B-it-assistant-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "26B",
|
||
"parameters_raw": 26000000000,
|
||
"min_ram_gb": 60.8,
|
||
"recommended_ram_gb": 72.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4256,
|
||
"hf_likes": 19,
|
||
"release_date": "2026-05-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4 Assistant (MTP)",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3-8B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4208,
|
||
"hf_likes": 81,
|
||
"release_date": "2024-04-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-Coder-14B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "14B",
|
||
"parameters_raw": 14000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3887,
|
||
"hf_likes": 10,
|
||
"release_date": "2024-11-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-Coder",
|
||
"description": "Code-specific model series based on Qwen2.5",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeThinker-3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3882,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-06-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeThinker-3B",
|
||
"description": "MLX conversions of VibeThinker-3B for Apple Silicon Chips. ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM3-3B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3745,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-07-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SmolLM3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-Distill-Qwen-7B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3435,
|
||
"hf_likes": 22,
|
||
"release_date": "2025-02-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-R1-Distill",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "17B",
|
||
"parameters_raw": 17000000000,
|
||
"min_ram_gb": 10.8,
|
||
"recommended_ram_gb": 13.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3343,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-05-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/diffusiongemma-26B-A4B-it-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "26B",
|
||
"parameters_raw": 26000000000,
|
||
"min_ram_gb": 23.4,
|
||
"recommended_ram_gb": 28.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3314,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-06-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffusionGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ornith-1.0-35B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "35B",
|
||
"parameters_raw": 35000000000,
|
||
"min_ram_gb": 41.2,
|
||
"recommended_ram_gb": 49.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3288,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ornith 1.0",
|
||
"description": "MLX versions of Ornith 1.0",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ornith-1.0-35B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "35B",
|
||
"parameters_raw": 35000000000,
|
||
"min_ram_gb": 21.1,
|
||
"recommended_ram_gb": 25.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3243,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ornith 1.0",
|
||
"description": "MLX versions of Ornith 1.0",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-397B-A17B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "397B",
|
||
"parameters_raw": 397000000000,
|
||
"min_ram_gb": 229.3,
|
||
"recommended_ram_gb": 270.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3209,
|
||
"hf_likes": 11,
|
||
"release_date": "2026-02-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen-3.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-4b-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3041,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-03-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3",
|
||
"description": "A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-ASR-0.6B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2798,
|
||
"hf_likes": 12,
|
||
"release_date": "2026-01-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-ASR",
|
||
"description": "This collection contains Qwen3-ASR & Qwen3-ForceAligner",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-31B-it-assistant-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "31B",
|
||
"parameters_raw": 31000000000,
|
||
"min_ram_gb": 72.3,
|
||
"recommended_ram_gb": 85.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2680,
|
||
"hf_likes": 14,
|
||
"release_date": "2026-05-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4 Assistant (MTP)",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12b-coder-fable5-composer2.5",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2499,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4-12b-coder-fable5-composer2.5",
|
||
"description": "MLX conversions of Gemma-4-12b-coder-fable5-composer2.5 for Apple Silicon Chips",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-5.1",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "743.911B",
|
||
"parameters_raw": 743911218432,
|
||
"min_ram_gb": 428.7,
|
||
"recommended_ram_gb": 504.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2493,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-04-07",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Glm 5.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E4B-it-lm-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2438,
|
||
"hf_likes": 8,
|
||
"release_date": "2025-06-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n - Text Only (LM)",
|
||
"description": "Google's Gemma 3n converted to MLX using mlx-lm",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-31b-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "31B",
|
||
"parameters_raw": 31000000000,
|
||
"min_ram_gb": 72.3,
|
||
"recommended_ram_gb": 85.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 2399,
|
||
"hf_likes": 25,
|
||
"release_date": "2026-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-Distill-Llama-8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2380,
|
||
"hf_likes": 11,
|
||
"release_date": "2025-02-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-R1-Distill",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-5.1-MXFP4-Q8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "743.911B",
|
||
"parameters_raw": 743911218432,
|
||
"min_ram_gb": 428.7,
|
||
"recommended_ram_gb": 504.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2187,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-04-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Glm 5.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-31b-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "31B",
|
||
"parameters_raw": 31000000000,
|
||
"min_ram_gb": 36.6,
|
||
"recommended_ram_gb": 43.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 2170,
|
||
"hf_likes": 23,
|
||
"release_date": "2026-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2120,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UNCENSORED Qwen 3.6 27B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-E4B-it-assistant-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1900,
|
||
"hf_likes": 11,
|
||
"release_date": "2026-05-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4 Assistant (MTP)",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/embeddinggemma-300m-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "300M",
|
||
"parameters_raw": 300000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "embedding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "sentence-similarity",
|
||
"architecture": "",
|
||
"hf_downloads": 1825,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-09-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EmbeddingGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1822,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek R1 0528",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/diffusiongemma-26B-A4B-it-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "26B",
|
||
"parameters_raw": 26000000000,
|
||
"min_ram_gb": 19.7,
|
||
"recommended_ram_gb": 23.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1821,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffusionGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-5.1-DQ4plus-q8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "743.911B",
|
||
"parameters_raw": 743911218432,
|
||
"min_ram_gb": 428.7,
|
||
"recommended_ram_gb": 504.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1752,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Glm 5.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-270m-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1701,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-08-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3-270m",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1647,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nvidia Nemotron-3-Nano-Omni",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-TTS-12Hz-0.6B-Base-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 1631,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-01-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-TTS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-270m-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1606,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-08-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3-270m",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-VL-72B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 42.4,
|
||
"recommended_ram_gb": 50.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1572,
|
||
"hf_likes": 8,
|
||
"release_date": "2025-02-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Coder-30B-A3B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1566,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-07-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-Coder-MoE",
|
||
"description": "💻 Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving ~Claude Sonnet.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-Coder-3B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1521,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-11-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-Coder",
|
||
"description": "Code-specific model series based on Qwen2.5",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ministral-8B-Instruct-2410-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1499,
|
||
"hf_likes": 12,
|
||
"release_date": "2024-10-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ministral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.2-11B-Vision-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "11B",
|
||
"parameters_raw": 11000000000,
|
||
"min_ram_gb": 13.6,
|
||
"recommended_ram_gb": 16.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1330,
|
||
"hf_likes": 9,
|
||
"release_date": "2024-10-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.2",
|
||
"description": "Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ornith-1.0-35B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "35B",
|
||
"parameters_raw": 35000000000,
|
||
"min_ram_gb": 31.2,
|
||
"recommended_ram_gb": 37.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1281,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ornith 1.0",
|
||
"description": "MLX versions of Ornith 1.0",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Step-3.5-Flash-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "196.956B",
|
||
"parameters_raw": 196956118272,
|
||
"min_ram_gb": 114.2,
|
||
"recommended_ram_gb": 134.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1272,
|
||
"hf_likes": 10,
|
||
"release_date": "2026-02-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Step 3.5 Flash",
|
||
"description": "By StepFun",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Phi-3-mini-4k-instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1269,
|
||
"hf_likes": 12,
|
||
"release_date": "2024-07-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Phi-3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lance-3B-Video-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 1138,
|
||
"hf_likes": 10,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lance MLX",
|
||
"description": "Feature-complete MLX port of ByteDance Lance: t2i, image_edit, x2t_image, t2v, video_edit, x2t_video.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiMo-V2.5-ASR-MLX-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8.01859B",
|
||
"parameters_raw": 8018587648,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 1090,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiMo-V2.5-ASR",
|
||
"description": "by Xiaomi, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Codestral-22B-v0.1-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "22B",
|
||
"parameters_raw": 22000000000,
|
||
"min_ram_gb": 13.6,
|
||
"recommended_ram_gb": 16.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1088,
|
||
"hf_likes": 13,
|
||
"release_date": "2024-05-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral (Mamba) Codestral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-ASR-0.6B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1076,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-01-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-ASR",
|
||
"description": "This collection contains Qwen3-ASR & Qwen3-ForceAligner",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12B-it-qat-assistant-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 14.8,
|
||
"recommended_ram_gb": 18.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1075,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 MTP QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E4B-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1071,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-07-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-0.6B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 2.4,
|
||
"recommended_ram_gb": 3.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1032,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-VL-4B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1030,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-72B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 42.4,
|
||
"recommended_ram_gb": 50.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1022,
|
||
"hf_likes": 7,
|
||
"release_date": "2024-09-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5",
|
||
"description": "The Qwen 2.5 models are a series of AI models trained on 18 trillion tokens, supporting 29 languages and offering advanced features such as instructio",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-4b-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 1011,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-06-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma",
|
||
"description": "Collection of Gemma 3 variants for performance on medical text and image comprehension to accelerate building healthcare-based AI applications.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.6V-Flash-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 988,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-12-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.6V",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-Coder-32B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 37.8,
|
||
"recommended_ram_gb": 45.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 936,
|
||
"hf_likes": 14,
|
||
"release_date": "2024-11-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-Coder",
|
||
"description": "Code-specific model series based on Qwen2.5",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-Cascade-2-30B-A3B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 916,
|
||
"hf_likes": 20,
|
||
"release_date": "2026-03-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nemotron-Cascade 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.5-Air-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 900,
|
||
"hf_likes": 28,
|
||
"release_date": "2025-07-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.5-Air",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-V4-Flash-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "284.333B",
|
||
"parameters_raw": 284333146519,
|
||
"min_ram_gb": 246.2,
|
||
"recommended_ram_gb": 289.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 897,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek V4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-4B-MTP-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 881,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen 3.x MTP",
|
||
"description": "MLX MTP drafter checkpoints for Qwen 3.x speculative decoding with mlx-vlm.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeThinker-3B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 876,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeThinker-3B",
|
||
"description": "MLX conversions of VibeThinker-3B for Apple Silicon Chips. ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Small-24B-Instruct-2501-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "24B",
|
||
"parameters_raw": 24000000000,
|
||
"min_ram_gb": 14.8,
|
||
"recommended_ram_gb": 18.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 848,
|
||
"hf_likes": 14,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral Small",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/deepseek-r1-distill-qwen-1.5b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.5B",
|
||
"parameters_raw": 1500000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 831,
|
||
"hf_likes": 24,
|
||
"release_date": "2025-02-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-R1-Distill",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2.7-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "228.69B",
|
||
"parameters_raw": 228689748992,
|
||
"min_ram_gb": 264.0,
|
||
"recommended_ram_gb": 310.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 817,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2.7",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.6-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "352.798B",
|
||
"parameters_raw": 352797829024,
|
||
"min_ram_gb": 203.9,
|
||
"recommended_ram_gb": 240.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 809,
|
||
"hf_likes": 15,
|
||
"release_date": "2025-09-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.6",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-4b-it-4bit-DWQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 791,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 DWQ",
|
||
"description": "Gemma 3 distilled weight quantized (DWQ) models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/embeddinggemma-300m-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "300M",
|
||
"parameters_raw": 300000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "embedding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "sentence-similarity",
|
||
"architecture": "",
|
||
"hf_downloads": 785,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-09-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EmbeddingGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy-MT2-1.8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.8B",
|
||
"parameters_raw": 1800000000,
|
||
"min_ram_gb": 2.0,
|
||
"recommended_ram_gb": 3.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "translation",
|
||
"architecture": "",
|
||
"hf_downloads": 781,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy-MT2",
|
||
"description": "MLX conversions of Tencent Hy-MT2 1.8B and 7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-V4-Flash-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "284.333B",
|
||
"parameters_raw": 284333146519,
|
||
"min_ram_gb": 655.0,
|
||
"recommended_ram_gb": 769.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 780,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek V4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-E2B-it-assistant-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 757,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-05-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4 Assistant (MTP)",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2.7-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "228.69B",
|
||
"parameters_raw": 228689748992,
|
||
"min_ram_gb": 132.5,
|
||
"recommended_ram_gb": 156.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 742,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2.7",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-1.7B-4bit-DWQ-053125",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.7B",
|
||
"parameters_raw": 1700000000,
|
||
"min_ram_gb": 2.0,
|
||
"recommended_ram_gb": 3.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 717,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 DWQ Quants",
|
||
"description": "High-quality 4-bit quants of the Qwen3 model family.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-TTS-12Hz-0.6B-Base-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 715,
|
||
"hf_likes": 9,
|
||
"release_date": "2026-01-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-TTS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kimi-VL-A3B-Thinking-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 698,
|
||
"hf_likes": 10,
|
||
"release_date": "2026-01-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kimi-VL Thinking",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/chatterbox-turbo-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 694,
|
||
"hf_likes": 23,
|
||
"release_date": "2025-12-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Chatterbox TTS",
|
||
"description": "Chatterbox and Chatterbox Turbo By ResembleAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "11B",
|
||
"parameters_raw": 11000000000,
|
||
"min_ram_gb": 7.3,
|
||
"recommended_ram_gb": 9.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 694,
|
||
"hf_likes": 7,
|
||
"release_date": "2024-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.2",
|
||
"description": "Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/embeddinggemma-300m-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "300M",
|
||
"parameters_raw": 300000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "embedding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "sentence-similarity",
|
||
"architecture": "",
|
||
"hf_downloads": 691,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-09-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EmbeddingGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-1.5-4b-it-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 657,
|
||
"hf_likes": 8,
|
||
"release_date": "2026-01-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma-1.5",
|
||
"description": "MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.3-70B-Instruct-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 31.2,
|
||
"recommended_ram_gb": 37.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 637,
|
||
"hf_likes": 8,
|
||
"release_date": "2024-12-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniCPM-V-4.6-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.30043B",
|
||
"parameters_raw": 1300428016,
|
||
"min_ram_gb": 4.0,
|
||
"recommended_ram_gb": 5.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 629,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniCPM-V 4.6",
|
||
"description": "MLX variants of MiniCPM-V 4.6, 1.3B parameters (SigLIP2 400M vision encoder + Qwen3.5-0.8B LLM), repo: https://huggingface.co/openbmb/MiniCPM-V-4.6",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kokoro-82M-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "82M",
|
||
"parameters_raw": 82000000,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 618,
|
||
"hf_likes": 8,
|
||
"release_date": "2026-01-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kokoro TTS",
|
||
"description": "Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers amazing quality.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiMo-V2.5-ASR-MLX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.25344B",
|
||
"parameters_raw": 1253440000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 595,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiMo-V2.5-ASR",
|
||
"description": "by Xiaomi, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Phi-3-mini-128k-instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "597.212M",
|
||
"parameters_raw": 597212160,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 594,
|
||
"hf_likes": 15,
|
||
"release_date": "2024-07-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Phi-3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E2B-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 590,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-07-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniCPM-V-4.6-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.04032B",
|
||
"parameters_raw": 1040315632,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 588,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniCPM-V 4.6",
|
||
"description": "MLX variants of MiniCPM-V 4.6, 1.3B parameters (SigLIP2 400M vision encoder + Qwen3.5-0.8B LLM), repo: https://huggingface.co/openbmb/MiniCPM-V-4.6",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/jinaai-ReaderLM-v2",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 579,
|
||
"hf_likes": 25,
|
||
"release_date": "2025-01-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Jina Reader-LM",
|
||
"description": "Convert HTML content to LLM-friendly Markdown/JSON content",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-4-Maverick-17B-16E-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "17B",
|
||
"parameters_raw": 17000000000,
|
||
"min_ram_gb": 10.8,
|
||
"recommended_ram_gb": 13.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 530,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-04-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 499,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nvidia Nemotron-3-Nano-Omni",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-7B-Instruct-v0.2",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 492,
|
||
"hf_likes": 20,
|
||
"release_date": "2023-12-23",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-0528-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "104.939B",
|
||
"parameters_raw": 104938540544,
|
||
"min_ram_gb": 61.3,
|
||
"recommended_ram_gb": 72.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 471,
|
||
"hf_likes": 17,
|
||
"release_date": "2025-05-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek R1 0528",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12B-it-qat-assistant-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 11.3,
|
||
"recommended_ram_gb": 14.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 467,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 MTP QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lance-3B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 466,
|
||
"hf_likes": 8,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lance MLX",
|
||
"description": "Feature-complete MLX port of ByteDance Lance: t2i, image_edit, x2t_image, t2v, video_edit, x2t_video.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy-MT2-7B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "translation",
|
||
"architecture": "",
|
||
"hf_downloads": 462,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy-MT2",
|
||
"description": "MLX conversions of Tencent Hy-MT2 1.8B and 7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ornith-1.0-35B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "35B",
|
||
"parameters_raw": 35000000000,
|
||
"min_ram_gb": 26.2,
|
||
"recommended_ram_gb": 31.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 461,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ornith 1.0",
|
||
"description": "MLX versions of Ornith 1.0",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.1-30b-mxfp8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 445,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.1",
|
||
"description": "By IBM",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12B-coder-fable5-composer2.5-v1-4bit-msq",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 436,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-06-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma-4-12b-coder-fable5-composer2.5",
|
||
"description": "MLX conversions of Gemma-4-12b-coder-fable5-composer2.5 for Apple Silicon Chips",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-1b-it-4bit-DWQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 429,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 DWQ",
|
||
"description": "Gemma 3 distilled weight quantized (DWQ) models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-72B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 83.8,
|
||
"recommended_ram_gb": 99.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 427,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-09-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5",
|
||
"description": "The Qwen 2.5 models are a series of AI models trained on 18 trillion tokens, supporting 29 languages and offering advanced features such as instructio",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-Coder-14B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "14B",
|
||
"parameters_raw": 14000000000,
|
||
"min_ram_gb": 33.2,
|
||
"recommended_ram_gb": 39.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 424,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-11-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-Coder",
|
||
"description": "Code-specific model series based on Qwen2.5",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-12B-it-qat-assistant-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 9.6,
|
||
"recommended_ram_gb": 12.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 424,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 MTP QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.1-30b-mxfp4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 418,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.1",
|
||
"description": "By IBM",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-7B-Instruct-1M-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 417,
|
||
"hf_likes": 11,
|
||
"release_date": "2025-01-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-1M",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-V4-Flash-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "284.333B",
|
||
"parameters_raw": 284333146519,
|
||
"min_ram_gb": 205.4,
|
||
"recommended_ram_gb": 241.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 415,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek V4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-8B-A1B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 408,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-10-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "💧LFM2-8B-A1B-MoE",
|
||
"description": "Best in Class MoE, better than Qwen3. Optimised for Smaller devices sub 16 GB (M1/2/3/4) Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kokoro-82M-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "82M",
|
||
"parameters_raw": 82000000,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 400,
|
||
"hf_likes": 8,
|
||
"release_date": "2026-01-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kokoro TTS",
|
||
"description": "Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers amazing quality.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.1-30b-nvfp4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 397,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.1",
|
||
"description": "By IBM",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mellum-4b-base-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 389,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-06-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "JetBrains Mellum",
|
||
"description": "Series of code models by JetBrains",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-14B-4bit-DWQ-053125",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "14B",
|
||
"parameters_raw": 14000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 388,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-06-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 DWQ Quants",
|
||
"description": "High-quality 4-bit quants of the Qwen3 model family.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy3-preview-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "295.034B",
|
||
"parameters_raw": 295033528320,
|
||
"min_ram_gb": 170.6,
|
||
"recommended_ram_gb": 201.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 386,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy3 preview",
|
||
"description": "By Tencent",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 384,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-4B-MTP-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 373,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen 3.x MTP",
|
||
"description": "MLX MTP drafter checkpoints for Qwen 3.x speculative decoding with mlx-vlm.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-4-Scout-17B-16E-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "17B",
|
||
"parameters_raw": 17000000000,
|
||
"min_ram_gb": 15.7,
|
||
"recommended_ram_gb": 19.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 358,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-05-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-1.5-4b-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 357,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-01-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma-1.5",
|
||
"description": "MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Codestral-22B-v0.1-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "22B",
|
||
"parameters_raw": 22000000000,
|
||
"min_ram_gb": 26.3,
|
||
"recommended_ram_gb": 31.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 351,
|
||
"hf_likes": 8,
|
||
"release_date": "2024-05-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral (Mamba) Codestral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-E2B-it-qat-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 351,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiMo-V2.5-ASR-MLX-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7.62262B",
|
||
"parameters_raw": 7622619136,
|
||
"min_ram_gb": 18.5,
|
||
"recommended_ram_gb": 22.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 351,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiMo-V2.5-ASR",
|
||
"description": "by Xiaomi, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2.7-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "228.69B",
|
||
"parameters_raw": 228689748992,
|
||
"min_ram_gb": 198.2,
|
||
"recommended_ram_gb": 233.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 346,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2.7",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 18.2,
|
||
"recommended_ram_gb": 22.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 327,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-06-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen3",
|
||
"description": "Abliterated, and further fine-tuned to be the most uncensored models available. Now in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mixtral-8x7B-Instruct-v0.1",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 320,
|
||
"hf_likes": 23,
|
||
"release_date": "2024-05-07",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-Cascade-2-30B-A3B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 26.9,
|
||
"recommended_ram_gb": 32.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 319,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-03-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nemotron-Cascade 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-9B-MTP-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "9B",
|
||
"parameters_raw": 9000000000,
|
||
"min_ram_gb": 21.7,
|
||
"recommended_ram_gb": 26.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 317,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen 3.x MTP",
|
||
"description": "MLX MTP drafter checkpoints for Qwen 3.x speculative decoding with mlx-vlm.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-12b-it-4bit-DWQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "12B",
|
||
"parameters_raw": 12000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 316,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-05-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 DWQ",
|
||
"description": "Gemma 3 distilled weight quantized (DWQ) models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolVLM-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 314,
|
||
"hf_likes": 5,
|
||
"release_date": "2024-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Idefics 3 + SmolVLM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS.2-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "33.4426B",
|
||
"parameters_raw": 33442607104,
|
||
"min_ram_gb": 20.2,
|
||
"recommended_ram_gb": 24.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 311,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Poolside Laguna-XS.2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-VL-72B-Instruct-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 32.0,
|
||
"recommended_ram_gb": 38.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 298,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-02-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiMo-V2.5-ASR-MLX-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.25344B",
|
||
"parameters_raw": 1253440000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 296,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiMo-V2.5-ASR",
|
||
"description": "by Xiaomi, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lance-3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 290,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-05-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lance MLX",
|
||
"description": "Feature-complete MLX port of ByteDance Lance: t2i, image_edit, x2t_image, t2v, video_edit, x2t_video.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-h-1b-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 283,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.0 Nano Language Models",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-VL-450M-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "450M",
|
||
"parameters_raw": 450000000,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 282,
|
||
"hf_likes": 11,
|
||
"release_date": "2025-08-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeThinker-3B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 279,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeThinker-3B",
|
||
"description": "MLX conversions of VibeThinker-3B for Apple Silicon Chips. ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-4-Scout-17B-16E-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "17B",
|
||
"parameters_raw": 17000000000,
|
||
"min_ram_gb": 20.5,
|
||
"recommended_ram_gb": 25.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 277,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-05-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-4b-it-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 277,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-03-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3",
|
||
"description": "A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2.7-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "228.69B",
|
||
"parameters_raw": 228689748992,
|
||
"min_ram_gb": 165.4,
|
||
"recommended_ram_gb": 195.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 274,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2.7",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Dia-1.6B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.6B",
|
||
"parameters_raw": 1600000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 265,
|
||
"hf_likes": 24,
|
||
"release_date": "2025-04-23",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NariLabs Dia-1.5B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.3-70B-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 61.4,
|
||
"recommended_ram_gb": 72.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 265,
|
||
"hf_likes": 5,
|
||
"release_date": "2024-12-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-Cascade-2-30B-A3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 262,
|
||
"hf_likes": 8,
|
||
"release_date": "2026-03-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nemotron-Cascade 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-397B-A17B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "397B",
|
||
"parameters_raw": 397000000000,
|
||
"min_ram_gb": 457.5,
|
||
"recommended_ram_gb": 538.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 257,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-02-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen-3.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apertus-8B-Instruct-2509-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 251,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-09-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Apertus",
|
||
"description": "SwissAI's Apertus models that support 1k languages",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.6-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "352.798B",
|
||
"parameters_raw": 352797829024,
|
||
"min_ram_gb": 254.6,
|
||
"recommended_ram_gb": 299.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 250,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-09-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.6",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-Distill-Qwen-7B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 248,
|
||
"hf_likes": 8,
|
||
"release_date": "2025-02-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-R1-Distill",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy-MT2-7B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "translation",
|
||
"architecture": "",
|
||
"hf_downloads": 248,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy-MT2",
|
||
"description": "MLX conversions of Tencent Hy-MT2 1.8B and 7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/parakeet-ctc-0.6b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 244,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-05-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Parakeet",
|
||
"description": "Nvidia's ASR models, now in MLX!",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy-MT2-1.8B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.8B",
|
||
"parameters_raw": 1800000000,
|
||
"min_ram_gb": 3.1,
|
||
"recommended_ram_gb": 4.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "translation",
|
||
"architecture": "",
|
||
"hf_downloads": 243,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy-MT2",
|
||
"description": "MLX conversions of Tencent Hy-MT2 1.8B and 7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-E2B-it-qat-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.4,
|
||
"recommended_ram_gb": 3.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 243,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kimi-VL-A3B-Thinking-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 235,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-01-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kimi-VL Thinking",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/functiongemma-270m-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 235,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-12-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "FunctionGemma",
|
||
"description": "by Google Deepmind",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-4B-MTP-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.9,
|
||
"recommended_ram_gb": 5.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 230,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen 3.x MTP",
|
||
"description": "MLX MTP drafter checkpoints for Qwen 3.x speculative decoding with mlx-vlm.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-1.5-4b-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 227,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-01-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma-1.5",
|
||
"description": "MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3.1-70B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 162.0,
|
||
"recommended_ram_gb": 191.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 224,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-10-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SoulX-Singer-fp32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 222,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SoulX-Singer MLX",
|
||
"description": "Apple MLX safetensors checkpoints for Soul-AILab SoulX-Singer and SoulX-Singer-SVC.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/chatterbox-turbo-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "134.507M",
|
||
"parameters_raw": 134507202,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 220,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-12-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Chatterbox TTS",
|
||
"description": "Chatterbox and Chatterbox Turbo By ResembleAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated-4-bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "11B",
|
||
"parameters_raw": 11000000000,
|
||
"min_ram_gb": 7.3,
|
||
"recommended_ram_gb": 9.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 217,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.2",
|
||
"description": "Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-VL-72B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 83.8,
|
||
"recommended_ram_gb": 99.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 213,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-02-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/codegemma-7b-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 211,
|
||
"hf_likes": 6,
|
||
"release_date": "2024-04-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Code Gemma",
|
||
"description": "Google’s Code-Gemma",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-VL-4B-Instruct-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 211,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Agents-A1-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "10.1957B",
|
||
"parameters_raw": 10195701616,
|
||
"min_ram_gb": 12.7,
|
||
"recommended_ram_gb": 15.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 192,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-07-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Agents-A1",
|
||
"description": "MLX versions of InternScience/Agents-A1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniCPM-V-4.6-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.07885B",
|
||
"parameters_raw": 1078850800,
|
||
"min_ram_gb": 2.2,
|
||
"recommended_ram_gb": 3.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 192,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniCPM-V 4.6",
|
||
"description": "MLX variants of MiniCPM-V 4.6, 1.3B parameters (SigLIP2 400M vision encoder + Qwen3.5-0.8B LLM), repo: https://huggingface.co/openbmb/MiniCPM-V-4.6",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3.1-70B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 162.0,
|
||
"recommended_ram_gb": 191.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 187,
|
||
"hf_likes": 4,
|
||
"release_date": "2024-07-23",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-2-9b-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "9B",
|
||
"parameters_raw": 9000000000,
|
||
"min_ram_gb": 11.3,
|
||
"recommended_ram_gb": 14.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 186,
|
||
"hf_likes": 9,
|
||
"release_date": "2024-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Google Gemma2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DiffuCoder-7B-cpGRPO-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 180,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffuCoder-7B",
|
||
"description": "Apple's text based diffusion model",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Agents-A1-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "6.94835B",
|
||
"parameters_raw": 6948351856,
|
||
"min_ram_gb": 6.0,
|
||
"recommended_ram_gb": 7.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 178,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-07-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Agents-A1",
|
||
"description": "MLX versions of InternScience/Agents-A1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Agents-A1-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "35.1072B",
|
||
"parameters_raw": 35107181936,
|
||
"min_ram_gb": 81.7,
|
||
"recommended_ram_gb": 96.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 177,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-07-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Agents-A1",
|
||
"description": "MLX versions of InternScience/Agents-A1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.5-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "352.798B",
|
||
"parameters_raw": 352797829024,
|
||
"min_ram_gb": 203.9,
|
||
"recommended_ram_gb": 240.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 176,
|
||
"hf_likes": 16,
|
||
"release_date": "2025-07-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM 4.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Molmo-7B-D-0924-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 176,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-12-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Molmo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-E2B-it-qat-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 173,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4 QAT",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-27b-it-qat-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 32.0,
|
||
"recommended_ram_gb": 38.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 170,
|
||
"hf_likes": 9,
|
||
"release_date": "2025-04-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 QAT",
|
||
"description": "Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-ASR-0.6B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 166,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-ASR",
|
||
"description": "This collection contains Qwen3-ASR & Qwen3-ForceAligner",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 165,
|
||
"hf_likes": 38,
|
||
"release_date": "2025-03-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen QwQ",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/bitnet-b1.58-2B-4T",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 162,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-06-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "BitNet 1.58",
|
||
"description": "This collection houses BitNet-1.58, Falcon3-1.58 and Falcon-E quants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OmniVoice-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "315.892M",
|
||
"parameters_raw": 315891912,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 162,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OmniVoice",
|
||
"description": "by k2-fsa, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OmniVoice",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "612.577M",
|
||
"parameters_raw": 612577288,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 162,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OmniVoice",
|
||
"description": "by k2-fsa, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Florence-2-base-ft-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "48.7871M",
|
||
"parameters_raw": 48787088,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 162,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-11-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Florence-2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-3.2-11B-Vision-Instruct-abliterated-8-bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "11B",
|
||
"parameters_raw": 11000000000,
|
||
"min_ram_gb": 13.6,
|
||
"recommended_ram_gb": 16.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 162,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3.2",
|
||
"description": "Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0725-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 161,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-07-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR-0725",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Agents-A1-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8.0308B",
|
||
"parameters_raw": 8030801776,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 160,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-07-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Agents-A1",
|
||
"description": "MLX versions of InternScience/Agents-A1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Step-3.5-Flash-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "196.956B",
|
||
"parameters_raw": 196956118272,
|
||
"min_ram_gb": 227.5,
|
||
"recommended_ram_gb": 267.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 155,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-02-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Step 3.5 Flash",
|
||
"description": "By StepFun",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hermes-2-Pro-Mistral-7B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 154,
|
||
"hf_likes": 5,
|
||
"release_date": "2024-03-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Devstral-Small-2505-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.94691B",
|
||
"parameters_raw": 2946913280,
|
||
"min_ram_gb": 2.3,
|
||
"recommended_ram_gb": 3.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 153,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Devstral Small 2505",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Bernini-R-int4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 152,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Bernini-R MLX",
|
||
"description": "MLX port of ByteDance Bernini-R: Wan2.2-A14B video renderer/editor with SA-3D RoPE (t2v/r2v/v2v/rv2v). Renderer-only, UMT5 conditioning.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3-70B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 41.2,
|
||
"recommended_ram_gb": 49.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 149,
|
||
"hf_likes": 9,
|
||
"release_date": "2024-04-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeVoice-Realtime-0.5B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "500M",
|
||
"parameters_raw": 500000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 149,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-12-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeVoice",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Granite-4.0-H-Tiny-4bit-DWQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.08542B",
|
||
"parameters_raw": 1085424192,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 146,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-10-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite-4.0 Family",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Real-ESRGAN-x4plus",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "16.698M",
|
||
"parameters_raw": 16697987,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 141,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Real-ESRGAN (MLX)",
|
||
"description": "Apple MLX fp16 ports of Real-ESRGAN super-resolution (RRDBNet + SRVGGNetCompact), 5 variants, BSD-3.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Yi-1.5-34B-Chat-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "34B",
|
||
"parameters_raw": 34000000000,
|
||
"min_ram_gb": 40.1,
|
||
"recommended_ram_gb": 47.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 140,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Yi-1.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-0528-Qwen3-8B-4bit-DWQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 139,
|
||
"hf_likes": 8,
|
||
"release_date": "2025-05-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek R1 0528",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-OuteTTS-1.0-1B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 139,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OuteTTS-1.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-2-7B-1025-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 138,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR-s-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 135,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-06-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR",
|
||
"description": "This collection houses Nanonets-OCR-s",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-tiny-preview-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 135,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite-4.0 Family",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-7B-v0.2-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 130,
|
||
"hf_likes": 8,
|
||
"release_date": "2024-03-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Real-ESRGAN-x4plus-anime-6B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "6B",
|
||
"parameters_raw": 6000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 130,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Real-ESRGAN (MLX)",
|
||
"description": "Apple MLX fp16 ports of Real-ESRGAN super-resolution (RRDBNet + SRVGGNetCompact), 5 variants, BSD-3.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-397B-A17B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "397B",
|
||
"parameters_raw": 397000000000,
|
||
"min_ram_gb": 343.4,
|
||
"recommended_ram_gb": 404.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 130,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-02-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen-3.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OmniVoice-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "622.148M",
|
||
"parameters_raw": 622147784,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 130,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OmniVoice",
|
||
"description": "by k2-fsa, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-2-27b-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 32.0,
|
||
"recommended_ram_gb": 38.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 127,
|
||
"hf_likes": 10,
|
||
"release_date": "2024-11-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Google Gemma2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-31b-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "31B",
|
||
"parameters_raw": 31000000000,
|
||
"min_ram_gb": 27.7,
|
||
"recommended_ram_gb": 33.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 125,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mel-roformer-kim-vocal-2-mlx",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "228.203M",
|
||
"parameters_raw": 228203172,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 123,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-05-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mel-Band-RoFormer (MLX)",
|
||
"description": "MLX-format Mel-Band-RoFormer vocal source separation models (MIT-licensed, parity-tested vs PyTorch reference)",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apriel-1.5-15b-Thinker-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "15B",
|
||
"parameters_raw": 15000000000,
|
||
"min_ram_gb": 9.6,
|
||
"recommended_ram_gb": 12.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 121,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ServiceNow-Apriel",
|
||
"description": "Apriel-1.5-15b-Thinker is a multimodal reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against models 10 time",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-27b-it-qat-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 120,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-04-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 QAT",
|
||
"description": "Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4-32B-0414-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 119,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-04-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM4",
|
||
"description": "The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Coder-30B-A3B-Instruct-8bit-DWQ-lr9e8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 119,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-08-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-Coder-MoE",
|
||
"description": "💻 Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving ~Claude Sonnet.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lens-3.8B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.8B",
|
||
"parameters_raw": 3800000000,
|
||
"min_ram_gb": 9.7,
|
||
"recommended_ram_gb": 12.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 115,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lens 3.8B (MLX)",
|
||
"description": "Apple MLX conversions of microsoft/Lens — 3.8B text-to-image DiT (GPT-OSS features + FLUX.2 VAE) for Apple Silicon. bf16 + int4/int8.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-h-micro-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 115,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite-4.0 Family",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/whisper-tiny-mlx-q4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 115,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-03-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Whisper",
|
||
"description": "OpenAI Whisper speech recognition models in MLX format",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 115,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen3",
|
||
"description": "Abliterated, and further fine-tuned to be the most uncensored models available. Now in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-350M-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "350M",
|
||
"parameters_raw": 350000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 111,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-07-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2.x",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/plamo-2-1b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 111,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-03-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PLaMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mamba-Codestral-7B-v0.1-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 111,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-01-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 111,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-02-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen2.5",
|
||
"description": "The best uncensored models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SeedVR2-3B-mlx-int8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 109,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SeedVR2 (MLX-Swift)",
|
||
"description": "SeedVR2-3B (ByteDance, ICLR 2026) one-step diffusion super-resolution, MLX-Swift weights for on-device Apple Silicon. fp16 + int8.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.1-30b-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 70.0,
|
||
"recommended_ram_gb": 83.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 108,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.1",
|
||
"description": "By IBM",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 107,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-02-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen2.5",
|
||
"description": "The best uncensored models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E4B-it-lm-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 106,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-06-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n - Text Only (LM)",
|
||
"description": "Google's Gemma 3n converted to MLX using mlx-lm",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/EfRLFN-x4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "503.894K",
|
||
"parameters_raw": 503894,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 105,
|
||
"hf_likes": 7,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EfRLFN MLX",
|
||
"description": "MLX port of EfRLFN (ICLR 2026): realtime x2/x4 image super-resolution on Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/encodec-32khz-float32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 105,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EnCodec",
|
||
"description": "EnCodec models in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ministral-8B-Instruct-2410-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 104,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-10-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ministral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PaddleOCR-VL-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "351.728M",
|
||
"parameters_raw": 351727700,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 101,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-01-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PaddleOCR-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Small-24B-Instruct-2501-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "24B",
|
||
"parameters_raw": 24000000000,
|
||
"min_ram_gb": 11.3,
|
||
"recommended_ram_gb": 14.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 101,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral Small",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR2-3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 99,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR2",
|
||
"description": "This collection houses Nanonets-OCR2 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SeedVR2-3B-mlx",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 98,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SeedVR2 (MLX-Swift)",
|
||
"description": "SeedVR2-3B (ByteDance, ICLR 2026) one-step diffusion super-resolution, MLX-Swift weights for on-device Apple Silicon. fp16 + int8.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mamba-Codestral-7B-v0.1-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 98,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-01-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mamba-Codestral-7B-v0.1",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 97,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-01-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kokoro-82M-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "82M",
|
||
"parameters_raw": 82000000,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 96,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-01-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kokoro TTS",
|
||
"description": "Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers amazing quality.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/deepseek-vl2-small-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 96,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-VL2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Devstral-Small-2505-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "6.63004B",
|
||
"parameters_raw": 6630036480,
|
||
"min_ram_gb": 8.6,
|
||
"recommended_ram_gb": 11.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 92,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-05-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Devstral Small 2505",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS.2-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "33.4426B",
|
||
"parameters_raw": 33442607104,
|
||
"min_ram_gb": 39.5,
|
||
"recommended_ram_gb": 47.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 91,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Poolside Laguna-XS.2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apertus-8B-Instruct-2509-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 91,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Apertus",
|
||
"description": "SwissAI's Apertus models that support 1k languages",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ministral-8B-Instruct-2410-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 89,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-10-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Ministral",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-VL-72B-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 89,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-02-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 26.9,
|
||
"recommended_ram_gb": 32.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 89,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nvidia Nemotron-3-Nano-Omni",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Orchestrator-8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 87,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Orchestrator 8B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/bitnet-b1.58-2B-4T-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 87,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "BitNet 1.58",
|
||
"description": "This collection houses BitNet-1.58, Falcon3-1.58 and Falcon-E quants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OmniVoice-fp32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "612.577M",
|
||
"parameters_raw": 612577288,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 86,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OmniVoice",
|
||
"description": "by k2-fsa, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-4-31b-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "31B",
|
||
"parameters_raw": 31000000000,
|
||
"min_ram_gb": 23.3,
|
||
"recommended_ram_gb": 28.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 85,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 4",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-6Bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 84,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UNCENSORED Qwen 3.6 27B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "228.69B",
|
||
"parameters_raw": 228689748992,
|
||
"min_ram_gb": 99.6,
|
||
"recommended_ram_gb": 117.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 84,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OpenELM-1_1B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 83,
|
||
"hf_likes": 4,
|
||
"release_date": "2024-04-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OpenELM",
|
||
"description": "A family of Open-source Efficient Language Models from Apple.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-Z1-32B-0414-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 82,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-04-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM4",
|
||
"description": "The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-7B-Instruct-1M-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 81,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-01-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-1M",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-TTS-12Hz-0.6B-Base-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 81,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-01-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-TTS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/sam-audio-large",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.04081B",
|
||
"parameters_raw": 3040807045,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 80,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-12-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Sam Audio",
|
||
"description": "By Facebook ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/functiongemma-270m-it-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 80,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-12-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "FunctionGemma",
|
||
"description": "by Google Deepmind",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.5-Air-mxfp4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 62.4,
|
||
"recommended_ram_gb": 74.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 80,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-09-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.5-Air",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-3-8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 78,
|
||
"hf_likes": 8,
|
||
"release_date": "2024-04-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Bernini-R-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 76,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Bernini-R MLX",
|
||
"description": "MLX port of ByteDance Bernini-R: Wan2.2-A14B video renderer/editor with SA-3D RoPE (t2v/r2v/v2v/rv2v). Renderer-only, UMT5 conditioning.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-8B-A1B-3bit-MLX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 76,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "💧LFM2-8B-A1B-MoE",
|
||
"description": "Best in Class MoE, better than Qwen3. Optimised for Smaller devices sub 16 GB (M1/2/3/4) Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OLMoE-1B-7B-0125-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 76,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-03-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OLMoE",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Step-3.5-Flash-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "196.956B",
|
||
"parameters_raw": 196956118272,
|
||
"min_ram_gb": 170.9,
|
||
"recommended_ram_gb": 201.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 75,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-02-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Step 3.5 Flash",
|
||
"description": "By StepFun",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR2-3B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 75,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR2",
|
||
"description": "This collection houses Nanonets-OCR2 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 37.8,
|
||
"recommended_ram_gb": 45.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 73,
|
||
"hf_likes": 14,
|
||
"release_date": "2025-03-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen QwQ",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-4B-Instruct-2507-gabliterated-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 73,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gabliterated v1",
|
||
"description": "The next version of Abliteration",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/codegemma-7b-it-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 72,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-04-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Code Gemma",
|
||
"description": "Google’s Code-Gemma",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lens-3.8B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.8B",
|
||
"parameters_raw": 3800000000,
|
||
"min_ram_gb": 5.4,
|
||
"recommended_ram_gb": 7.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 72,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lens 3.8B (MLX)",
|
||
"description": "Apple MLX conversions of microsoft/Lens — 3.8B text-to-image DiT (GPT-OSS features + FLUX.2 VAE) for Apple Silicon. bf16 + int4/int8.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mamba-790m-hf-f16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "790M",
|
||
"parameters_raw": 790000000,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 72,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba",
|
||
"description": "Mamba is a new LLM architecture that integrates the Structured State Space sequence model to manage lengthy data sequences.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.5-Air-3bit-DWQ-v2",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 47.1,
|
||
"recommended_ram_gb": 56.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 69,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-08-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.5-Air",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mellum-4b-base",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 69,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-06-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "JetBrains Mellum",
|
||
"description": "Series of code models by JetBrains",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lens-3.8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.8B",
|
||
"parameters_raw": 3800000000,
|
||
"min_ram_gb": 3.2,
|
||
"recommended_ram_gb": 4.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 69,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lens 3.8B (MLX)",
|
||
"description": "Apple MLX conversions of microsoft/Lens — 3.8B text-to-image DiT (GPT-OSS features + FLUX.2 VAE) for Apple Silicon. bf16 + int4/int8.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Devstral-Small-2505-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "5.15679B",
|
||
"parameters_raw": 5156787200,
|
||
"min_ram_gb": 5.4,
|
||
"recommended_ram_gb": 7.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 69,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Devstral Small 2505",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DiffuCoder-7B-cpGRPO-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 68,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffuCoder-7B",
|
||
"description": "Apple's text based diffusion model",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PaddleOCR-VL-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "255.402M",
|
||
"parameters_raw": 255401796,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 68,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-01-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PaddleOCR-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Olmo-3-7B-Instruct-abliterated-v1-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 68,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Models",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-27b-it-4bit-DWQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 16.5,
|
||
"recommended_ram_gb": 20.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 67,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-05-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 DWQ",
|
||
"description": "Gemma 3 distilled weight quantized (DWQ) models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DeepSeek-R1-0528-Qwen3-8B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 67,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-05-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek R1 0528",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-VL-450M-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "450M",
|
||
"parameters_raw": 450000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 66,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-08-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-4b-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 65,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-06-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma",
|
||
"description": "Collection of Gemma 3 variants for performance on medical text and image comprehension to accelerate building healthcare-based AI applications.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/IQuest-Coder-V1-40B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "40B",
|
||
"parameters_raw": 40000000000,
|
||
"min_ram_gb": 47.0,
|
||
"recommended_ram_gb": 56.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 64,
|
||
"hf_likes": 6,
|
||
"release_date": "2026-01-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "IQuest-Coder",
|
||
"description": "By IQuestLab",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Real-ESRGAN-x2plus",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "16.7032M",
|
||
"parameters_raw": 16703171,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 64,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Real-ESRGAN (MLX)",
|
||
"description": "Apple MLX fp16 ports of Real-ESRGAN super-resolution (RRDBNet + SRVGGNetCompact), 5 variants, BSD-3.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-7B-Instruct-1M-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 4.0,
|
||
"recommended_ram_gb": 5.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 63,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-1M",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mel-roformer-zfturbo-vocals-v1-mlx",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "33.6674M",
|
||
"parameters_raw": 33667396,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 62,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-05-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mel-Band-RoFormer (MLX)",
|
||
"description": "MLX-format Mel-Band-RoFormer vocal source separation models (MIT-licensed, parity-tested vs PyTorch reference)",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR2-3B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 62,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR2",
|
||
"description": "This collection houses Nanonets-OCR2 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeVoice-Realtime-0.5B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "500M",
|
||
"parameters_raw": 500000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 61,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-12-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeVoice",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS.2-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "33.4426B",
|
||
"parameters_raw": 33442607104,
|
||
"min_ram_gb": 29.8,
|
||
"recommended_ram_gb": 35.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 61,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Poolside Laguna-XS.2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/AceReason-Nemotron-7B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 61,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "AceReason Nemotron",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Falcon3-Mamba-7B-Instruct-4bits",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 61,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-02-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon3 Mamba",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Yi-1.5-9B-Chat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "9B",
|
||
"parameters_raw": 9000000000,
|
||
"min_ram_gb": 6.2,
|
||
"recommended_ram_gb": 8.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 60,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Yi-1.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SigLIP2-NR-IQA-KonIQ",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 60,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SigLIP2 NR-IQA MLX",
|
||
"description": "MLX no-reference image-quality head on SigLIP2-SO400M (repro of arXiv:2509.17374).",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Florence-2-large-ft-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "822.899M",
|
||
"parameters_raw": 822898688,
|
||
"min_ram_gb": 2.9,
|
||
"recommended_ram_gb": 4.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 60,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-11-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Florence-2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Dia-1.6B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.6B",
|
||
"parameters_raw": 1600000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 59,
|
||
"hf_likes": 13,
|
||
"release_date": "2025-04-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NariLabs Dia-1.5B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS.2-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "33.4426B",
|
||
"parameters_raw": 33442607104,
|
||
"min_ram_gb": 25.0,
|
||
"recommended_ram_gb": 30.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 59,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Poolside Laguna-XS.2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Phi-3-mini-128k-instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 58,
|
||
"hf_likes": 10,
|
||
"release_date": "2024-07-11",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Phi-3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Meta-Llama-Guard-2-8B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 58,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-04-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Llama 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/V-JEPA2-vitl-fpc64-256",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "325.971M",
|
||
"parameters_raw": 325971328,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "video-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 57,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "V-JEPA2 (MLX)",
|
||
"description": "Apple MLX fp16 ports of Meta V-JEPA2 ViT-L — video embeddings, JEPA predictor, SSv2 classifier. MIT.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Kimi-VL-A3B-Thinking-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 3.6,
|
||
"recommended_ram_gb": 5.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 57,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-01-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Kimi-VL Thinking",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SoulX-Singer-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 57,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SoulX-Singer MLX",
|
||
"description": "Apple MLX safetensors checkpoints for Soul-AILab SoulX-Singer and SoulX-Singer-SVC.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Cocktail-Fork-MRX-adapted-loudness",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5664M",
|
||
"parameters_raw": 30566448,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 56,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Cocktail-Fork MRX (MLX)",
|
||
"description": "MERL MRX ported to Apple MLX — 3-stem music/speech/sfx soundtrack separation. Numerically exact vs PyTorch. 4 variants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-8B-4bit-DWQ-053125",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 55,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 DWQ Quants",
|
||
"description": "High-quality 4-bit quants of the Qwen3 model family.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/sam-audio-large-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.04081B",
|
||
"parameters_raw": 3040807045,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 54,
|
||
"hf_likes": 6,
|
||
"release_date": "2025-12-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Sam Audio",
|
||
"description": "By Facebook ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/embeddinggemma-300m-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "300M",
|
||
"parameters_raw": 300000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "embedding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "sentence-similarity",
|
||
"architecture": "",
|
||
"hf_downloads": 54,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EmbeddingGemma",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Nemo-Base-2407-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 53,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-07-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral NeMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OpenELM-1_1B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 53,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-04-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OpenELM",
|
||
"description": "A family of Open-source Efficient Language Models from Apple.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-72B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 166.6,
|
||
"recommended_ram_gb": 196.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 53,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5",
|
||
"description": "The Qwen 2.5 models are a series of AI models trained on 18 trillion tokens, supporting 29 languages and offering advanced features such as instructio",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mellum-4b-base-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 52,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "JetBrains Mellum",
|
||
"description": "Series of code models by JetBrains",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Cocktail-Fork-MRX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5664M",
|
||
"parameters_raw": 30566448,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 50,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Cocktail-Fork MRX (MLX)",
|
||
"description": "MERL MRX ported to Apple MLX — 3-stem music/speech/sfx soundtrack separation. Numerically exact vs PyTorch. 4 variants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Florence-2-base-ft-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "81.6936M",
|
||
"parameters_raw": 81693648,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 50,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-11-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Florence-2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Small-24B-Instruct-2501-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "24B",
|
||
"parameters_raw": 24000000000,
|
||
"min_ram_gb": 28.6,
|
||
"recommended_ram_gb": 34.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 49,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral Small",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/V-JEPA2-vitl-fpc16-256-ssv2",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "353.4M",
|
||
"parameters_raw": 353399982,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "video-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 49,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "V-JEPA2 (MLX)",
|
||
"description": "Apple MLX fp16 ports of Meta V-JEPA2 ViT-L — video embeddings, JEPA predictor, SSv2 classifier. MIT.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/codegemma-2b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 49,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-04-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Code Gemma",
|
||
"description": "Google’s Code-Gemma",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Phi-3-mini-4k-instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 48,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Phi-3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/V-JEPA2-AC-vitg",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.31739B",
|
||
"parameters_raw": 1317394944,
|
||
"min_ram_gb": 1.8,
|
||
"recommended_ram_gb": 2.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "video-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 48,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "V-JEPA2 (MLX)",
|
||
"description": "Apple MLX fp16 ports of Meta V-JEPA2 ViT-L — video embeddings, JEPA predictor, SSv2 classifier. MIT.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16-mlx-5Bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 48,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UNCENSORED Qwen 3.6 27B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 22.6,
|
||
"recommended_ram_gb": 27.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 48,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nvidia Nemotron-3-Nano-Omni",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/kitten-tts-nano-0.8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "14.5913M",
|
||
"parameters_raw": 14591314,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 48,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-02-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "KittenTTS",
|
||
"description": "All MLX conversions of KittenTTS (nano/micro/mini) across fp32, fp16, bf16, and 4/5/6/8-bit quantizations.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolVLM-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 47,
|
||
"hf_likes": 9,
|
||
"release_date": "2024-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Idefics 3 + SmolVLM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Real-ESRGAN-animevideov3",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "621.424K",
|
||
"parameters_raw": 621424,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 47,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Real-ESRGAN (MLX)",
|
||
"description": "Apple MLX fp16 ports of Real-ESRGAN super-resolution (RRDBNet + SRVGGNetCompact), 5 variants, BSD-3.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniCPM-V-4.6-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.04995B",
|
||
"parameters_raw": 1049949424,
|
||
"min_ram_gb": 1.8,
|
||
"recommended_ram_gb": 2.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 47,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniCPM-V 4.6",
|
||
"description": "MLX variants of MiniCPM-V 4.6, 1.3B parameters (SigLIP2 400M vision encoder + Qwen3.5-0.8B LLM), repo: https://huggingface.co/openbmb/MiniCPM-V-4.6",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-ASR-0.6B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 47,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-ASR",
|
||
"description": "This collection contains Qwen3-ASR & Qwen3-ForceAligner",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-8B-A1B-8bit-MLX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 46,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-10-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "💧LFM2-8B-A1B-MoE",
|
||
"description": "Best in Class MoE, better than Qwen3. Optimised for Smaller devices sub 16 GB (M1/2/3/4) Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Orchestrator-8B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 46,
|
||
"hf_likes": 5,
|
||
"release_date": "2025-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Orchestrator 8B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-1.5-4b-it-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 46,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-01-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma-1.5",
|
||
"description": "MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy3-preview-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "295.034B",
|
||
"parameters_raw": 295033528320,
|
||
"min_ram_gb": 255.5,
|
||
"recommended_ram_gb": 300.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 46,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy3 preview",
|
||
"description": "By Tencent",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.6V-Flash-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 6.0,
|
||
"recommended_ram_gb": 7.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 46,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.6V",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.6V-Flash-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 45,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-12-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.6V",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Hy3-preview-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "295.034B",
|
||
"parameters_raw": 295033528320,
|
||
"min_ram_gb": 340.3,
|
||
"recommended_ram_gb": 400.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 44,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Hy3 preview",
|
||
"description": "By Tencent",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-2-7B-1025-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 44,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/ERNIE-4.5-300B-A47B-PT-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "300B",
|
||
"parameters_raw": 300000000000,
|
||
"min_ram_gb": 173.5,
|
||
"recommended_ram_gb": 204.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 43,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ERNIE-4.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apertus-8B-Instruct-2509-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 43,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Apertus",
|
||
"description": "SwissAI's Apertus models that support 1k languages",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3.5-397B-A17B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "397B",
|
||
"parameters_raw": 397000000000,
|
||
"min_ram_gb": 286.3,
|
||
"recommended_ram_gb": 337.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 43,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-02-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen-3.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/bitnet-b1.58-2B-4T-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 43,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "BitNet 1.58",
|
||
"description": "This collection houses BitNet-1.58, Falcon3-1.58 and Falcon-E quants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-h-1b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 42,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.0 Nano Language Models",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM3-3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 41,
|
||
"hf_likes": 9,
|
||
"release_date": "2025-07-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SmolLM3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/deepseek-vl2-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 41,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-12-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-VL2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/lille-130m-instruct-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "130M",
|
||
"parameters_raw": 130000000,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 41,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lille 130M",
|
||
"description": "Very Small smart model created for the mobile",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/parakeet-ctc-1.1b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.1B",
|
||
"parameters_raw": 1100000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 41,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Parakeet",
|
||
"description": "Nvidia's ASR models, now in MLX!",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/YOLO26n-OptiQ-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "object-detection",
|
||
"architecture": "",
|
||
"hf_downloads": 41,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "YOLO 26",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolVLM-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 40,
|
||
"hf_likes": 5,
|
||
"release_date": "2024-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Idefics 3 + SmolVLM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-4b-pt-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 40,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-03-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3",
|
||
"description": "A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Florence-2-base-ft-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270.906M",
|
||
"parameters_raw": 270906368,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 40,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-11-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Florence-2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS-2.1-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "33.4426B",
|
||
"parameters_raw": 33442617088,
|
||
"min_ram_gb": 77.9,
|
||
"recommended_ram_gb": 92.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 40,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-07-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Laguna-XS-2.1",
|
||
"description": "MLX versions of Laguna-XS-2.1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-0.6B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 39,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-04-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E2B-it-lm-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 39,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n - Text Only (LM)",
|
||
"description": "Google's Gemma 3n converted to MLX using mlx-lm",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ling-2.6-flash-mlx-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "104.187B",
|
||
"parameters_raw": 104186907648,
|
||
"min_ram_gb": 75.9,
|
||
"recommended_ram_gb": 89.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 38,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "inclusionAI LING 2.6",
|
||
"description": "By inclusionAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Next-80B-A3B-Thinking-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "80B",
|
||
"parameters_raw": 80000000000,
|
||
"min_ram_gb": 70.0,
|
||
"recommended_ram_gb": 83.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 38,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 Next",
|
||
"description": "Alibaba's first hybrid model, designed to cut resources and speed things up.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 38,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-02-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen2.5",
|
||
"description": "The best uncensored models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-2-7B-1025-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 6.0,
|
||
"recommended_ram_gb": 7.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 38,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 26.9,
|
||
"recommended_ram_gb": 32.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 38,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen3",
|
||
"description": "Abliterated, and further fine-tuned to be the most uncensored models available. Now in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/paligemma2-10b-ft-docci-448-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "10B",
|
||
"parameters_raw": 10000000000,
|
||
"min_ram_gb": 24.0,
|
||
"recommended_ram_gb": 29.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 36,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Paligemma 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/IQuest-Coder-V1-40B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "40B",
|
||
"parameters_raw": 40000000000,
|
||
"min_ram_gb": 24.0,
|
||
"recommended_ram_gb": 29.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 36,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-01-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "IQuest-Coder",
|
||
"description": "By IQuestLab",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VoxCPM1.5-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "211.425M",
|
||
"parameters_raw": 211424577,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 36,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VoxCPM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0225-preview-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LLaDA2.0-mini-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "16.2556B",
|
||
"parameters_raw": 16255643392,
|
||
"min_ram_gb": 10.3,
|
||
"recommended_ram_gb": 13.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-11-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LLaDA 2.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4.6V-Flash-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-12-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM-4.6V",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-4b-it-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 10.2,
|
||
"recommended_ram_gb": 12.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma",
|
||
"description": "Collection of Gemma 3 variants for performance on medical text and image comprehension to accelerate building healthcare-based AI applications.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/parakeet-rnnt-1.1b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.1B",
|
||
"parameters_raw": 1100000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Parakeet",
|
||
"description": "Nvidia's ASR models, now in MLX!",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/YOLO26s-OptiQ-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "object-detection",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "YOLO 26",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/lille-130m-instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "130M",
|
||
"parameters_raw": 130000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 35,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lille 130M",
|
||
"description": "Very Small smart model created for the mobile",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Solar-Open-100B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "100B",
|
||
"parameters_raw": 100000000000,
|
||
"min_ram_gb": 58.5,
|
||
"recommended_ram_gb": 69.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 34,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Solar Open",
|
||
"description": "A 102B-parameter Mixture-of-Experts model by Upstage",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/parakeet-rnnt-0.6b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "automatic-speech-recognition",
|
||
"architecture": "",
|
||
"hf_downloads": 34,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Parakeet",
|
||
"description": "Nvidia's ASR models, now in MLX!",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/sam-audio-small",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "602.312M",
|
||
"parameters_raw": 602312324,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-12-23",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Sam Audio",
|
||
"description": "By Facebook ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ling-2.6-flash-mlx-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "104.187B",
|
||
"parameters_raw": 104186907648,
|
||
"min_ram_gb": 60.9,
|
||
"recommended_ram_gb": 72.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "inclusionAI LING 2.6",
|
||
"description": "By inclusionAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/codegemma-7b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-04-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Code Gemma",
|
||
"description": "Google’s Code-Gemma",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SoulX-Singer-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SoulX-Singer MLX",
|
||
"description": "Apple MLX safetensors checkpoints for Soul-AILab SoulX-Singer and SoulX-Singer-SVC.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/P1-VL-30B-A3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PRIME-RL P1-VL-30B-A3B",
|
||
"description": "Bridging visual perception and scientific reasoning in physics olympiads",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Solar-Open-100B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "100B",
|
||
"parameters_raw": 100000000000,
|
||
"min_ram_gb": 116.0,
|
||
"recommended_ram_gb": 137.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Solar Open",
|
||
"description": "A 102B-parameter Mixture-of-Experts model by Upstage",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 33,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-02-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen2.5",
|
||
"description": "The best uncensored models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen1.5-1.8B-Chat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.8B",
|
||
"parameters_raw": 1800000000,
|
||
"min_ram_gb": 2.0,
|
||
"recommended_ram_gb": 3.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 32,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-02-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen1.5",
|
||
"description": "Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Falcon3-Mamba-7B-Instruct-8bits",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 32,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-02-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon3 Mamba",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VoxCPM1.5",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "887.786M",
|
||
"parameters_raw": 887786241,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-12-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VoxCPM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-7B-Instruct-1M-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-01-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5-1M",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Cocktail-Fork-MRX-paper",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5664M",
|
||
"parameters_raw": 30566448,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Cocktail-Fork MRX (MLX)",
|
||
"description": "MERL MRX ported to Apple MLX — 3-stem music/speech/sfx soundtrack separation. Numerically exact vs PyTorch. 4 variants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lens-Turbo-3.8B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3.8B",
|
||
"parameters_raw": 3800000000,
|
||
"min_ram_gb": 9.7,
|
||
"recommended_ram_gb": 12.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lens 3.8B (MLX)",
|
||
"description": "Apple MLX conversions of microsoft/Lens — 3.8B text-to-image DiT (GPT-OSS features + FLUX.2 VAE) for Apple Silicon. bf16 + int4/int8.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/YOLO26m-OptiQ-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "26M",
|
||
"parameters_raw": 26000000,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "object-detection",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "YOLO 26",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-h-small-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite-4.0 Family",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR-s-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 31,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR",
|
||
"description": "This collection houses Nanonets-OCR-s",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/EXAONE-3.5-2.4B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.4B",
|
||
"parameters_raw": 2400000000,
|
||
"min_ram_gb": 2.4,
|
||
"recommended_ram_gb": 3.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 30,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-12-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EXAONE-3.5",
|
||
"description": "EXAONE 3.5, a collection of instruction-tuned bilingual generative models ranging from 2.4B to 32B parameters, developed by LG AI.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MiniMax-M2-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 6.0,
|
||
"recommended_ram_gb": 7.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 30,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-10-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MiniMax-M2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-Next-80B-A3B-Thinking-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "80B",
|
||
"parameters_raw": 80000000000,
|
||
"min_ram_gb": 58.5,
|
||
"recommended_ram_gb": 69.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 30,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 Next",
|
||
"description": "Alibaba's first hybrid model, designed to cut resources and speed things up.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SU-01-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5321B",
|
||
"parameters_raw": 30532122624,
|
||
"min_ram_gb": 22.9,
|
||
"recommended_ram_gb": 27.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 30,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Simplified Reasoning SU-01",
|
||
"description": "Rigorous mathematical and scientific olympiad problem solving",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/bitnet-b1.58-2B-4T-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 30,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "BitNet 1.58",
|
||
"description": "This collection houses BitNet-1.58, Falcon3-1.58 and Falcon-E quants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Dia-1.6B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.6B",
|
||
"parameters_raw": 1600000000,
|
||
"min_ram_gb": 2.4,
|
||
"recommended_ram_gb": 3.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 10,
|
||
"release_date": "2025-04-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NariLabs Dia-1.5B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-1.2B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.2B",
|
||
"parameters_raw": 1200000000,
|
||
"min_ram_gb": 2.4,
|
||
"recommended_ram_gb": 3.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-07-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2.x",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-2-27b-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 32.0,
|
||
"recommended_ram_gb": 38.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Google Gemma2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Cocktail-Fork-MRX-adapted-eq",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5664M",
|
||
"parameters_raw": 30566448,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Cocktail-Fork MRX (MLX)",
|
||
"description": "MERL MRX ported to Apple MLX — 3-stem music/speech/sfx soundtrack separation. Numerically exact vs PyTorch. 4 variants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nemotron-Cascade-2-30B-A3B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 22.6,
|
||
"recommended_ram_gb": 27.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-03-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nemotron-Cascade 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Nemo-Base-2407-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-07-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral NeMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Falcon3-Mamba-7B-Instruct",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 29,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-02-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon3 Mamba",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/deepseek-vl2-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 27,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-12-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-VL2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS-2.1-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "6.27256B",
|
||
"parameters_raw": 6272558848,
|
||
"min_ram_gb": 5.5,
|
||
"recommended_ram_gb": 7.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 27,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-07-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Laguna-XS-2.1",
|
||
"description": "MLX versions of Laguna-XS-2.1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LLaDA2.0-flash-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "102.89B",
|
||
"parameters_raw": 102889705216,
|
||
"min_ram_gb": 60.2,
|
||
"recommended_ram_gb": 71.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 26,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-11-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LLaDA 2.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/medgemma-4b-it-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 26,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "MedGemma",
|
||
"description": "Collection of Gemma 3 variants for performance on medical text and image comprehension to accelerate building healthcare-based AI applications.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/K-EXAONE-236B-A23B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "236B",
|
||
"parameters_raw": 236000000000,
|
||
"min_ram_gb": 272.4,
|
||
"recommended_ram_gb": 320.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 26,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "K-EXAONE",
|
||
"description": " A large-scale multilingual language model by LG AI Research",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/plamo-2-1b-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 25,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-03-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PLaMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-OuteTTS-1.0-1B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 25,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OuteTTS-1.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SongGeneration-v2-medium-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "788.837M",
|
||
"parameters_raw": 788837088,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 25,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SongGeneration v2 MLX",
|
||
"description": "Apple MLX checkpoints for Tencent SongGeneration v2 medium and large audiolm token generation.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Solar-Open-100B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "100B",
|
||
"parameters_raw": 100000000000,
|
||
"min_ram_gb": 87.2,
|
||
"recommended_ram_gb": 103.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 25,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Solar Open",
|
||
"description": "A 102B-parameter Mixture-of-Experts model by Upstage",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/deepseek-vl2-small-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 25,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DeepSeek-VL2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lumimaid-8B-v0.1",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 25,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-10-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lumimaid",
|
||
"description": "A collection of Neversleep's RP focused Lumimaid LLMs.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-4B-4bit-DWQ-053125",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-06-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3 DWQ Quants",
|
||
"description": "High-quality 4-bit quants of the Qwen3 model family.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/NAFNet-GoPro-width64",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "67.8888M",
|
||
"parameters_raw": 67888835,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NAFNet MLX",
|
||
"description": "MLX port of NAFNet (Simple Baselines for Image Restoration): on-device deblur/denoise on Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apertus-8B-Instruct-2509-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Apertus",
|
||
"description": "SwissAI's Apertus models that support 1k languages",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DiffuCoder-7B-cpGRPO-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DiffuCoder-7B",
|
||
"description": "Apple's text based diffusion model",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen1.5-14B-Chat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "14B",
|
||
"parameters_raw": 14000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-03-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen1.5",
|
||
"description": "Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS-2.1-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7.317B",
|
||
"parameters_raw": 7316995840,
|
||
"min_ram_gb": 7.3,
|
||
"recommended_ram_gb": 9.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-07-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Laguna-XS-2.1",
|
||
"description": "MLX versions of Laguna-XS-2.1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SongGeneration-v2-medium-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "438.302M",
|
||
"parameters_raw": 438301536,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SongGeneration v2 MLX",
|
||
"description": "Apple MLX checkpoints for Tencent SongGeneration v2 medium and large audiolm token generation.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E4B-it-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.9,
|
||
"recommended_ram_gb": 5.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 24,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-TTS-12Hz-0.6B-Base-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "600M",
|
||
"parameters_raw": 600000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 23,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-01-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-TTS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mellum-4b-sft-python",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 23,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "JetBrains Mellum",
|
||
"description": "Series of code models by JetBrains",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0225-preview-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 23,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PaddleOCR-VL-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "303.565M",
|
||
"parameters_raw": 303564748,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 23,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PaddleOCR-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/K-EXAONE-236B-A23B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "236B",
|
||
"parameters_raw": 236000000000,
|
||
"min_ram_gb": 170.6,
|
||
"recommended_ram_gb": 201.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 23,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "K-EXAONE",
|
||
"description": " A large-scale multilingual language model by LG AI Research",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-OuteTTS-1.0-1B-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 22,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-05-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OuteTTS-1.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/K-EXAONE-236B-A23B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "236B",
|
||
"parameters_raw": 236000000000,
|
||
"min_ram_gb": 204.5,
|
||
"recommended_ram_gb": 241.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 22,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "K-EXAONE",
|
||
"description": " A large-scale multilingual language model by LG AI Research",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR-s-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 22,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR",
|
||
"description": "This collection houses Nanonets-OCR-s",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Qwen3-30B-A3B-abliterated-v2-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 70.0,
|
||
"recommended_ram_gb": 83.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 22,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Qwen3",
|
||
"description": "Abliterated, and further fine-tuned to be the most uncensored models available. Now in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-2-27b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 16.5,
|
||
"recommended_ram_gb": 20.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 22,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-06-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Google Gemma2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QVQ-72B-Preview-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 42.4,
|
||
"recommended_ram_gb": 50.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 7,
|
||
"release_date": "2025-04-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QVQ-72B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ling-2.6-flash-mlx-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "104.187B",
|
||
"parameters_raw": 104186907648,
|
||
"min_ram_gb": 90.9,
|
||
"recommended_ram_gb": 107.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "inclusionAI LING 2.6",
|
||
"description": "By inclusionAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/ERNIE-4.5-21B-A3B-PT-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "21B",
|
||
"parameters_raw": 21000000000,
|
||
"min_ram_gb": 49.3,
|
||
"recommended_ram_gb": 58.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ERNIE-4.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/answerdotai-ModernBERT-base-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "fill-mask",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ModernBert",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/paligemma2-3b-ft-docci-448-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-12-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Paligemma 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Molmo-7B-D-0924-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-12-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Molmo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Josiefied-Olmo-3-7B-Instruct-abliterated-v1-bfloat16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Josiefied and Abliterated Models",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-VL-4B-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen2.5-32B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 74.6,
|
||
"recommended_ram_gb": 88.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 21,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen2.5",
|
||
"description": "The Qwen 2.5 models are a series of AI models trained on 18 trillion tokens, supporting 29 languages and offering advanced features such as instructio",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/INTELLECT-3-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 62.4,
|
||
"recommended_ram_gb": 74.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "INTELLECT 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-8B-A1B-6bit-MLX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-10-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "💧LFM2-8B-A1B-MoE",
|
||
"description": "Best in Class MoE, better than Qwen3. Optimised for Smaller devices sub 16 GB (M1/2/3/4) Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen1.5-7B-Chat-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-03-07",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen1.5",
|
||
"description": "Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/NAFNet-REDS-width64",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "67.8888M",
|
||
"parameters_raw": 67888835,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NAFNet MLX",
|
||
"description": "MLX port of NAFNet (Simple Baselines for Image Restoration): on-device deblur/denoise on Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Ling-2.6-flash-mlx-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "104.187B",
|
||
"parameters_raw": 104186907648,
|
||
"min_ram_gb": 120.8,
|
||
"recommended_ram_gb": 142.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "inclusionAI LING 2.6",
|
||
"description": "By inclusionAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Olmo-3-7B-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-11-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Olmo-3",
|
||
"description": "Ai2's Olmo 3 model family of instruction and reasoning models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VisualQuality-R1-7B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "reinforcement-learning",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-08-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VisualQuality-R1",
|
||
"description": "Image Quality Assessment",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/P1-VL-30B-A3B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 70.0,
|
||
"recommended_ram_gb": 83.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PRIME-RL P1-VL-30B-A3B",
|
||
"description": "Bridging visual perception and scientific reasoning in physics olympiads",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PaddleOCR-VL-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "279.483M",
|
||
"parameters_raw": 279483272,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PaddleOCR-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-4B-Instruct-2507-gabliterated-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gabliterated v1",
|
||
"description": "The next version of Abliteration",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-VL-4B-Instruct-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.9,
|
||
"recommended_ram_gb": 5.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 20,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen3-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-1.2B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.2B",
|
||
"parameters_raw": 1200000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 19,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-07-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2.x",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Nemo-Base-2407-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 19,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-07-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral NeMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM-135M-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "135M",
|
||
"parameters_raw": 135000000,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 19,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-07-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "HF SmolLM",
|
||
"description": "A series of smol LLMs: 135M, 360M and 1.7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SU-01-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5321B",
|
||
"parameters_raw": 30532122624,
|
||
"min_ram_gb": 71.2,
|
||
"recommended_ram_gb": 84.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 19,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Simplified Reasoning SU-01",
|
||
"description": "Rigorous mathematical and scientific olympiad problem solving",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Gemma-SEA-LION-v3-9B-IT-mlx-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "9B",
|
||
"parameters_raw": 9000000000,
|
||
"min_ram_gb": 6.2,
|
||
"recommended_ram_gb": 8.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 19,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SEA-LION",
|
||
"description": "SEA-LION mlx models by AI Singapore.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM-360M-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "360M",
|
||
"parameters_raw": 360000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 19,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-07-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "HF SmolLM",
|
||
"description": "A series of smol LLMs: 135M, 360M and 1.7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Dia-1.6B-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.6B",
|
||
"parameters_raw": 1600000000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 4,
|
||
"release_date": "2025-04-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NariLabs Dia-1.5B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DR-Venus-4B-SFT-mlx-8Bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "inclusionAI DR-Venus",
|
||
"description": "By inclusionAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/functiongemma-270m-it-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-12-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "FunctionGemma",
|
||
"description": "by Google Deepmind",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mamba-1.4b-hf-f16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.4B",
|
||
"parameters_raw": 1400000000,
|
||
"min_ram_gb": 1.8,
|
||
"recommended_ram_gb": 2.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-09-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba",
|
||
"description": "Mamba is a new LLM architecture that integrates the Structured State Space sequence model to manage lengthy data sequences.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SongGeneration-v2-medium-fp32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.80442B",
|
||
"parameters_raw": 2804416512,
|
||
"min_ram_gb": 2.6,
|
||
"recommended_ram_gb": 3.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SongGeneration v2 MLX",
|
||
"description": "Apple MLX checkpoints for Tencent SongGeneration v2 medium and large audiolm token generation.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SU-01-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5321B",
|
||
"parameters_raw": 30532122624,
|
||
"min_ram_gb": 36.1,
|
||
"recommended_ram_gb": 43.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Simplified Reasoning SU-01",
|
||
"description": "Rigorous mathematical and scientific olympiad problem solving",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/AceReason-Nemotron-14B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "14B",
|
||
"parameters_raw": 14000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "AceReason Nemotron",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4-32B-Base-0414-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 37.8,
|
||
"recommended_ram_gb": 45.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 18,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-04-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM4",
|
||
"description": "The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-Preview-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 14.8,
|
||
"recommended_ram_gb": 18.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 5,
|
||
"release_date": "2024-11-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QwQ-32B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-Preview-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 19.4,
|
||
"recommended_ram_gb": 23.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QwQ-32B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/IQuest-Coder-V1-40B-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "40B",
|
||
"parameters_raw": 40000000000,
|
||
"min_ram_gb": 35.5,
|
||
"recommended_ram_gb": 42.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-01-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "IQuest-Coder",
|
||
"description": "By IQuestLab",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeVoice-Realtime-0.5B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "500M",
|
||
"parameters_raw": 500000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-12-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeVoice",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Holo1-3B-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Holo1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Molmo-7B-D-0924-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-01-01",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Molmo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LLaDA2.0-mini-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "16.2556B",
|
||
"parameters_raw": 16255643392,
|
||
"min_ram_gb": 19.7,
|
||
"recommended_ram_gb": 23.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LLaDA 2.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR-s-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR",
|
||
"description": "This collection houses Nanonets-OCR-s",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-27b-it-qat-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 24.3,
|
||
"recommended_ram_gb": 29.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-04-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3 QAT",
|
||
"description": "Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM-360M-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "360M",
|
||
"parameters_raw": 360000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 17,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-07-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "HF SmolLM",
|
||
"description": "A series of smol LLMs: 135M, 360M and 1.7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DR-Venus-4B-RL-mlx-8Bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 16,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-04-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "inclusionAI DR-Venus",
|
||
"description": "By inclusionAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/ERNIE-4.5-21B-A3B-PT-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "21B",
|
||
"parameters_raw": 21000000000,
|
||
"min_ram_gb": 25.1,
|
||
"recommended_ram_gb": 30.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 16,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ERNIE-4.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/YOLO26l-OptiQ-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "object-detection",
|
||
"architecture": "",
|
||
"hf_downloads": 16,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-04-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "YOLO 26",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/kitten-tts-nano-0.8-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7.55015M",
|
||
"parameters_raw": 7550146,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 16,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-02-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "KittenTTS",
|
||
"description": "All MLX conversions of KittenTTS (nano/micro/mini) across fp32, fp16, bf16, and 4/5/6/8-bit quantizations.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-2-7B-1025-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 16,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/whisper-tiny.en-mlx-q4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 16,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-03-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Whisper",
|
||
"description": "OpenAI Whisper speech recognition models in MLX format",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apriel-1.5-15b-Thinker-6bit-MLX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "15B",
|
||
"parameters_raw": 15000000000,
|
||
"min_ram_gb": 13.9,
|
||
"recommended_ram_gb": 17.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 15,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-10-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ServiceNow-Apriel",
|
||
"description": "Apriel-1.5-15b-Thinker is a multimodal reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against models 10 time",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/chatterbox-turbo-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "170.912M",
|
||
"parameters_raw": 170912322,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 15,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Chatterbox TTS",
|
||
"description": "Chatterbox and Chatterbox Turbo By ResembleAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apriel-1.5-15b-Thinker-3bit-MLX",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "15B",
|
||
"parameters_raw": 15000000000,
|
||
"min_ram_gb": 7.5,
|
||
"recommended_ram_gb": 9.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 15,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ServiceNow-Apriel",
|
||
"description": "Apriel-1.5-15b-Thinker is a multimodal reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against models 10 time",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-1.2B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.2B",
|
||
"parameters_raw": 1200000000,
|
||
"min_ram_gb": 2.0,
|
||
"recommended_ram_gb": 3.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-07-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2.x",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/swahili-gemma-1b-mlx-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-08-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Swahili Gemma 1B",
|
||
"description": "A fine-tuned Gemma 3 1B instruction model specialized for English-to-Swahili translation and Swahili conversational AI. The model accepts input in bot",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SoulX-Singer-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SoulX-Singer MLX",
|
||
"description": "Apple MLX safetensors checkpoints for Soul-AILab SoulX-Singer and SoulX-Singer-SVC.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SongGeneration-v2-medium-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.80442B",
|
||
"parameters_raw": 2804416512,
|
||
"min_ram_gb": 7.5,
|
||
"recommended_ram_gb": 9.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SongGeneration v2 MLX",
|
||
"description": "Apple MLX checkpoints for Tencent SongGeneration v2 medium and large audiolm token generation.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VibeVoice-Realtime-0.5B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "500M",
|
||
"parameters_raw": 500000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VibeVoice",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Nanonets-OCR2-3B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 3.6,
|
||
"recommended_ram_gb": 5.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Nanonets OCR2",
|
||
"description": "This collection houses Nanonets-OCR2 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/UI-TARS-7B-SFT-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 14,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UI-TARS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/sam-audio-small-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "602.312M",
|
||
"parameters_raw": 602312324,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-12-23",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Sam Audio",
|
||
"description": "By Facebook ",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Yi-1.5-9B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "9B",
|
||
"parameters_raw": 9000000000,
|
||
"min_ram_gb": 11.3,
|
||
"recommended_ram_gb": 14.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Yi-1.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/IQuest-Coder-V1-40B-Instruct-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "40B",
|
||
"parameters_raw": 40000000000,
|
||
"min_ram_gb": 29.7,
|
||
"recommended_ram_gb": 35.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "IQuest-Coder",
|
||
"description": "By IQuestLab",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-h-1b-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.0 Nano Language Models",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OLMoE-1B-7B-0125-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OLMoE",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0225-preview-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/paligemma2-3b-ft-docci-448-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Paligemma 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM-135M-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "135M",
|
||
"parameters_raw": 135000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 13,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-07-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "HF SmolLM",
|
||
"description": "A series of smol LLMs: 135M, 360M and 1.7B.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OpenELM-3B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 8,
|
||
"release_date": "2024-04-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OpenELM",
|
||
"description": "A family of Open-source Efficient Language Models from Apple.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-Preview-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 37.8,
|
||
"recommended_ram_gb": 45.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 6,
|
||
"release_date": "2024-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QwQ-32B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-Preview-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 28.6,
|
||
"recommended_ram_gb": 34.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 4,
|
||
"release_date": "2024-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QwQ-32B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Orchestrator-8B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 7.9,
|
||
"recommended_ram_gb": 10.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Orchestrator 8B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Holo1-3B-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.3,
|
||
"recommended_ram_gb": 3.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-06-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Holo1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/answerdotai-ModernBERT-base-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "fill-mask",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ModernBert",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SU-01-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30.5321B",
|
||
"parameters_raw": 30532122624,
|
||
"min_ram_gb": 27.3,
|
||
"recommended_ram_gb": 32.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Simplified Reasoning SU-01",
|
||
"description": "Rigorous mathematical and scientific olympiad problem solving",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/INTELLECT-3-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 93.2,
|
||
"recommended_ram_gb": 110.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "INTELLECT 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0725-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR-0725",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3n-E2B-it-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.4,
|
||
"recommended_ram_gb": 3.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-12",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3n",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Mistral-Small-24B-Instruct-2501-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "24B",
|
||
"parameters_raw": 24000000000,
|
||
"min_ram_gb": 21.7,
|
||
"recommended_ram_gb": 26.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 12,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mistral Small",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QVQ-72B-Preview-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 83.8,
|
||
"recommended_ram_gb": 99.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-12-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QVQ-72B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/NAFNet-SIDD-width64",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "115.983M",
|
||
"parameters_raw": 115982915,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "NAFNet MLX",
|
||
"description": "MLX port of NAFNet (Simple Baselines for Image Restoration): on-device deblur/denoise on Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Gemma-SEA-LION-v4-27B-IT-mlx-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "27B",
|
||
"parameters_raw": 27000000000,
|
||
"min_ram_gb": 16.5,
|
||
"recommended_ram_gb": 20.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SEA-LION",
|
||
"description": "SEA-LION mlx models by AI Singapore.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VoxCPM1.5-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "261.525M",
|
||
"parameters_raw": 261525441,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VoxCPM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/GLM-4-32B-Base-0414-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 28.6,
|
||
"recommended_ram_gb": 34.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-04-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "GLM4",
|
||
"description": "The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Virtuoso-Medium-v2-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Arcee Virtuoso",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/falcon-mamba-7b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 11,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-11-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon-Mamba",
|
||
"description": "Falcon Mamba models compatible with MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM3-3B-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.3,
|
||
"recommended_ram_gb": 3.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-07-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SmolLM3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-VL-450M-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "450M",
|
||
"parameters_raw": 450000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-08-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/helium-1-preview-2b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-01-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Helium-1",
|
||
"description": "Kyutai's Helium-1 2B Model, outperforming other state of the art small models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-4B-Instruct-2507-gabliterated-mxfp4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gabliterated v1",
|
||
"description": "The next version of Abliteration",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/chatterbox-turbo-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "152.71M",
|
||
"parameters_raw": 152709762,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-17",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Chatterbox TTS",
|
||
"description": "Chatterbox and Chatterbox Turbo By ResembleAI",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-270m-it-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-08-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3-270m",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-270m-it-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-08-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3-270m",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0725-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR-0725",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OLMoE-1B-7B-0125-Instruct",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OLMoE",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/EXAONE-3.5-2.4B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.4B",
|
||
"parameters_raw": 2400000000,
|
||
"min_ram_gb": 6.5,
|
||
"recommended_ram_gb": 8.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EXAONE-3.5",
|
||
"description": "EXAONE 3.5, a collection of instruction-tuned bilingual generative models ranging from 2.4B to 32B parameters, developed by LG AI.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/falcon-mamba-7b-4bit-instruct",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 10,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-11-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon-Mamba",
|
||
"description": "Falcon Mamba models compatible with MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Olmo-3-7B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-11-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Olmo-3",
|
||
"description": "Ai2's Olmo 3 model family of instruction and reasoning models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/kitten-tts-nano-0.8-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7.81093M",
|
||
"parameters_raw": 7810930,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-02-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "KittenTTS",
|
||
"description": "All MLX conversions of KittenTTS (nano/micro/mini) across fp32, fp16, bf16, and 4/5/6/8-bit quantizations.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Virtuoso-Medium-v2-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-01-31",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Arcee Virtuoso",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Qwen3-4B-Instruct-2507-gabliterated-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gabliterated v1",
|
||
"description": "The next version of Abliteration",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VoxCPM1.5-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "236.475M",
|
||
"parameters_raw": 236475009,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VoxCPM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LLaDA2.0-mini-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "16.2556B",
|
||
"parameters_raw": 16255643392,
|
||
"min_ram_gb": 15.0,
|
||
"recommended_ram_gb": 18.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LLaDA 2.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolLM3-3B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 3.2,
|
||
"recommended_ram_gb": 4.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-08",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SmolLM3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Holo1-3B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 3.6,
|
||
"recommended_ram_gb": 5.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Holo1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OLMoE-1B-7B-0125-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OLMoE",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/UI-TARS-7B-SFT-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 9,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UI-TARS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QVQ-72B-Preview-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 32.0,
|
||
"recommended_ram_gb": 38.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 5,
|
||
"release_date": "2024-12-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QVQ-72B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 28.6,
|
||
"recommended_ram_gb": 34.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-03-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen QwQ",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-SEA-LION-v3.5-8B-R-mlx-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-09-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SEA-LION",
|
||
"description": "SEA-LION mlx models by AI Singapore.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Orchestrator-8B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 6.8,
|
||
"recommended_ram_gb": 8.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Orchestrator 8B",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-SEA-LION-v3-8B-IT-mlx-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-10",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SEA-LION",
|
||
"description": "SEA-LION mlx models by AI Singapore.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0725-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-25",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR-0725",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QwQ-32B-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "32B",
|
||
"parameters_raw": 32000000000,
|
||
"min_ram_gb": 14.8,
|
||
"recommended_ram_gb": 18.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 8,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Qwen QwQ",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/encodec-48khz-float32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 3,
|
||
"release_date": "2024-09-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EnCodec",
|
||
"description": "EnCodec models in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/INTELLECT-3-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 77.8,
|
||
"recommended_ram_gb": 92.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "INTELLECT 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/granite-4.0-h-1b-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.7,
|
||
"recommended_ram_gb": 2.8,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-10-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Granite 4.0 Nano Language Models",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/helium-1-preview-2b-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 3.3,
|
||
"recommended_ram_gb": 4.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-01-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Helium-1",
|
||
"description": "Kyutai's Helium-1 2B Model, outperforming other state of the art small models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/P1-VL-30B-A3B-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 22.6,
|
||
"recommended_ram_gb": 27.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PRIME-RL P1-VL-30B-A3B",
|
||
"description": "Bridging visual perception and scientific reasoning in physics olympiads",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/kitten-tts-nano-0.8-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8.07171M",
|
||
"parameters_raw": 8071714,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-02-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "KittenTTS",
|
||
"description": "All MLX conversions of KittenTTS (nano/micro/mini) across fp32, fp16, bf16, and 4/5/6/8-bit quantizations.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PE-Core-G14-448",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Perception Encoder",
|
||
"description": "Perception Encoder Models from Facebook",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VisualQuality-R1-7B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "reinforcement-learning",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-08-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VisualQuality-R1",
|
||
"description": "Image Quality Assessment",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Holo1-3B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-06-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Holo1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/answerdotai-ModernBERT-Large-Instruct-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "fill-mask",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ModernBert",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/gemma-3-4b-pt-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "4B",
|
||
"parameters_raw": 4000000000,
|
||
"min_ram_gb": 4.4,
|
||
"recommended_ram_gb": 6.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Gemma 3",
|
||
"description": "A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mamba2-2.7b-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.7B",
|
||
"parameters_raw": 2700000000,
|
||
"min_ram_gb": 4.1,
|
||
"recommended_ram_gb": 5.6,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/EXAONE-3.5-2.4B-Instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.4B",
|
||
"parameters_raw": 2400000000,
|
||
"min_ram_gb": 3.8,
|
||
"recommended_ram_gb": 5.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EXAONE-3.5",
|
||
"description": "EXAONE 3.5, a collection of instruction-tuned bilingual generative models ranging from 2.4B to 32B parameters, developed by LG AI.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lumimaid-70B-v0.1-alt",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 41.2,
|
||
"recommended_ram_gb": 49.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-10-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lumimaid",
|
||
"description": "A collection of Neversleep's RP focused Lumimaid LLMs.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mamba-790m-hf-f32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "790M",
|
||
"parameters_raw": 790000000,
|
||
"min_ram_gb": 1.5,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 7,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba",
|
||
"description": "Mamba is a new LLM architecture that integrates the Structured State Space sequence model to manage lengthy data sequences.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/functiongemma-270m-it-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "270M",
|
||
"parameters_raw": 270000000,
|
||
"min_ram_gb": 1.2,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-12-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "FunctionGemma",
|
||
"description": "by Google Deepmind",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/QVQ-72B-Preview-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "72B",
|
||
"parameters_raw": 72000000000,
|
||
"min_ram_gb": 63.1,
|
||
"recommended_ram_gb": 74.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 2,
|
||
"release_date": "2024-12-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "QVQ-72B-Preview",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/EfRLFN-x2",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "487.01K",
|
||
"parameters_raw": 487010,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EfRLFN MLX",
|
||
"description": "MLX port of EfRLFN (ICLR 2026): realtime x2/x4 image super-resolution on Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Llama-OuteTTS-1.0-1B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-05-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OuteTTS-1.0",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/reader-lm-1.5b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.5B",
|
||
"parameters_raw": 1500000000,
|
||
"min_ram_gb": 1.9,
|
||
"recommended_ram_gb": 3.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-01-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Jina Reader-LM",
|
||
"description": "Convert HTML content to LLM-friendly Markdown/JSON content",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/INTELLECT-3-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "106.852B",
|
||
"parameters_raw": 106852251264,
|
||
"min_ram_gb": 123.9,
|
||
"recommended_ram_gb": 146.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-27",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "INTELLECT 3",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Olmo-3-7B-Instruct-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Olmo-3",
|
||
"description": "Ai2's Olmo 3 model family of instruction and reasoning models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Olmo-3-7B-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-11-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Olmo-3",
|
||
"description": "Ai2's Olmo 3 model family of instruction and reasoning models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/ERNIE-4.5-21B-A3B-PT-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "21B",
|
||
"parameters_raw": 21000000000,
|
||
"min_ram_gb": 19.1,
|
||
"recommended_ram_gb": 23.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-07-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ERNIE-4.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/AceReason-Nemotron-7B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "AceReason Nemotron",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/helium-1-preview-2b-float32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Helium-1",
|
||
"description": "Kyutai's Helium-1 2B Model, outperforming other state of the art small models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/encodec-24khz-bfloat16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EnCodec",
|
||
"description": "EnCodec models in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Yi-1.5-34B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "34B",
|
||
"parameters_raw": 34000000000,
|
||
"min_ram_gb": 40.1,
|
||
"recommended_ram_gb": 47.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 6,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-05-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Yi-1.5",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/P1-VL-30B-A3B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "30B",
|
||
"parameters_raw": 30000000000,
|
||
"min_ram_gb": 26.9,
|
||
"recommended_ram_gb": 32.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-19",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PRIME-RL P1-VL-30B-A3B",
|
||
"description": "Bridging visual perception and scientific reasoning in physics olympiads",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PE-Core-T16-384",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Perception Encoder",
|
||
"description": "Perception Encoder Models from Facebook",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/lille-130m-instruct-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "130M",
|
||
"parameters_raw": 130000000,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lille 130M",
|
||
"description": "Very Small smart model created for the mobile",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VisualQuality-R1-7B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "reinforcement-learning",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-08-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VisualQuality-R1",
|
||
"description": "Image Quality Assessment",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/AceReason-Nemotron-7B-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "AceReason Nemotron",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/answerdotai-ModernBERT-base-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "fill-mask",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-04-02",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ModernBert",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/UI-TARS-7B-SFT-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UI-TARS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/UI-TARS-7B-SFT-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "UI-TARS",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/reader-lm-0.5b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "500M",
|
||
"parameters_raw": 500000000,
|
||
"min_ram_gb": 1.3,
|
||
"recommended_ram_gb": 2.3,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Jina Reader-LM",
|
||
"description": "Convert HTML content to LLM-friendly Markdown/JSON content",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/SmolVLM-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-11-29",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Idefics 3 + SmolVLM",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/falcon-mamba-7b-8bit-instruct",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-11-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon-Mamba",
|
||
"description": "Falcon Mamba models compatible with MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/falcon-mamba-7b-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-11-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Falcon-Mamba",
|
||
"description": "Falcon Mamba models compatible with MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/mamba-1.4b-hf-f32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1.4B",
|
||
"parameters_raw": 1400000000,
|
||
"min_ram_gb": 1.8,
|
||
"recommended_ram_gb": 2.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Mamba",
|
||
"description": "Mamba is a new LLM architecture that integrates the Structured State Space sequence model to manage lengthy data sequences.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/encodec-32khz-bfloat16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "coding",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 5,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-09-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EnCodec",
|
||
"description": "EnCodec models in MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/plamo-2-8b-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 3,
|
||
"release_date": "2025-03-15",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PLaMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/OpenELM-1_1B-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-04-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "OpenELM",
|
||
"description": "A family of Open-source Efficient Language Models from Apple.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Laguna-XS-2.1-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "9.40587B",
|
||
"parameters_raw": 9405869824,
|
||
"min_ram_gb": 11.8,
|
||
"recommended_ram_gb": 14.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-07-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Laguna-XS-2.1",
|
||
"description": "MLX versions of Laguna-XS-2.1",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PE-Core-S16-384",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Perception Encoder",
|
||
"description": "Perception Encoder Models from Facebook",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Apriel-1.5-15b-Thinker-5bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "15B",
|
||
"parameters_raw": 15000000000,
|
||
"min_ram_gb": 11.8,
|
||
"recommended_ram_gb": 14.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-5bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-10-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "ServiceNow-Apriel",
|
||
"description": "Apriel-1.5-15b-Thinker is a multimodal reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against models 10 time",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/lille-130m-instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "130M",
|
||
"parameters_raw": 130000000,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-09-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lille 130M",
|
||
"description": "Very Small smart model created for the mobile",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/VisualQuality-R1-7B-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "reasoning",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "reinforcement-learning",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-08-06",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "VisualQuality-R1",
|
||
"description": "Image Quality Assessment",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Virtuoso-Medium-v2-3bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 4.0,
|
||
"recommended_ram_gb": 5.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-3bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Arcee Virtuoso",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/helium-1-preview-2b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2B",
|
||
"parameters_raw": 2000000000,
|
||
"min_ram_gb": 2.1,
|
||
"recommended_ram_gb": 3.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 4,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-18",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Helium-1",
|
||
"description": "Kyutai's Helium-1 2B Model, outperforming other state of the art small models.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Perception-LM-3B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 2.7,
|
||
"recommended_ram_gb": 4.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-07",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "facebook Perception LM",
|
||
"description": "A collection of facebook perception language models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/PE-Core-L14-336",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-12-26",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Perception Encoder",
|
||
"description": "Perception Encoder Models from Facebook",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/EXAONE-3.5-2.4B-Instruct-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "2.4B",
|
||
"parameters_raw": 2400000000,
|
||
"min_ram_gb": 3.1,
|
||
"recommended_ram_gb": 4.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "chat",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 3,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "EXAONE-3.5",
|
||
"description": "EXAONE 3.5, a collection of instruction-tuned bilingual generative models ranging from 2.4B to 32B parameters, developed by LG AI.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/paligemma2-3b-ft-docci-448-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "3B",
|
||
"parameters_raw": 3000000000,
|
||
"min_ram_gb": 3.6,
|
||
"recommended_ram_gb": 5.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-text-to-text",
|
||
"architecture": "",
|
||
"hf_downloads": 3,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-12-05",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Paligemma 2",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/plamo-2-8b",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2,
|
||
"hf_likes": 2,
|
||
"release_date": "2025-03-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "PLaMo",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Perception-LM-1B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "1B",
|
||
"parameters_raw": 1000000000,
|
||
"min_ram_gb": 1.6,
|
||
"recommended_ram_gb": 2.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-07",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "facebook Perception LM",
|
||
"description": "A collection of facebook perception language models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Virtuoso-Medium-v2-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 7.0,
|
||
"recommended_ram_gb": 9.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 2,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-01-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Arcee Virtuoso",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lumimaid-70B-v0.1",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 41.2,
|
||
"recommended_ram_gb": 49.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-10-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lumimaid",
|
||
"description": "A collection of Neversleep's RP focused Lumimaid LLMs.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Lumimaid-70B-v0.1-OAS",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "70B",
|
||
"parameters_raw": 70000000000,
|
||
"min_ram_gb": 41.2,
|
||
"recommended_ram_gb": 49.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 1,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-10-13",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lumimaid",
|
||
"description": "A collection of Neversleep's RP focused Lumimaid LLMs.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/demucs-mlx-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 9,
|
||
"release_date": "2026-03-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Demucs MLX — Music Source Separation",
|
||
"description": "Demucs music stem separation for Apple Silicon. Float32 and float16 variants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/demucs-mlx",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "audio-to-audio",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 7,
|
||
"release_date": "2026-03-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Demucs MLX — Music Source Separation",
|
||
"description": "Demucs music stem separation for Apple Silicon. Float32 and float16 variants.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Boogu-Image-0.1-Base-4bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Boogu-Image-0.1 (MLX)",
|
||
"description": "MLX conversions of Boogu-Image-0.1 (OmniGen2-lineage T2I/edit, Apache-2.0) for Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LongCat-Video-Avatar-1.5-bf16-dmd-merged",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 5,
|
||
"release_date": "2026-05-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LongCat-Video-Avatar 1.5 — MLX",
|
||
"description": "Apple MLX port of Meituan's audio-driven video diffusion. Source + recipe: github.com/xocialize/longcat-avatar-mlx",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/supertonic-3",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "tts",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-speech",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 4,
|
||
"release_date": "2026-05-30",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Supertonic 3",
|
||
"description": "by Supertone, converted to MLX",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Wan2.2-VAE-Lance-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 3,
|
||
"release_date": "2026-05-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Lance MLX",
|
||
"description": "Feature-complete MLX port of ByteDance Lance: t2i, image_edit, x2t_image, t2v, video_edit, x2t_video.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Boogu-Image-0.1-Base-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Boogu-Image-0.1 (MLX)",
|
||
"description": "MLX conversions of Boogu-Image-0.1 (OmniGen2-lineage T2I/edit, Apache-2.0) for Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LongCat-Video-q8",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 2,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LongCat-Video — MLX",
|
||
"description": "Apple MLX port of Meituan's 13.6B base text-to-video model. Six task variants share one DiT. github.com/xocialize/longcat-video-mlx",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Boogu-Image-0.1-Turbo-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Boogu-Image-0.1 (MLX)",
|
||
"description": "MLX conversions of Boogu-Image-0.1 (OmniGen2-lineage T2I/edit, Apache-2.0) for Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Boogu-Image-0.1-Turbo-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-21",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Boogu-Image-0.1 (MLX)",
|
||
"description": "MLX conversions of Boogu-Image-0.1 (OmniGen2-lineage T2I/edit, Apache-2.0) for Apple Silicon.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LFM2-VL-450M-6bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "450M",
|
||
"parameters_raw": 450000000,
|
||
"min_ram_gb": 1.4,
|
||
"recommended_ram_gb": 2.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-6bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 1,
|
||
"release_date": "2025-08-16",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LFM2-VL",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LongCat-Video-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LongCat-Video — MLX",
|
||
"description": "Apple MLX port of Meituan's 13.6B base text-to-video model. Six task variants share one DiT. github.com/xocialize/longcat-video-mlx",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LongCat-Video-q4",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 1,
|
||
"release_date": "2026-06-04",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LongCat-Video — MLX",
|
||
"description": "Apple MLX port of Meituan's 13.6B base text-to-video model. Six task variants share one DiT. github.com/xocialize/longcat-video-mlx",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/whisper-large-v2-mlx-fp32",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "stt",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 1,
|
||
"release_date": "2024-08-09",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Whisper",
|
||
"description": "OpenAI Whisper speech recognition models in MLX format",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MI-GAN-512-places2-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7.37137M",
|
||
"parameters_raw": 7371368,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Inpainting (MLX)",
|
||
"description": "Apple-MLX fp16 inpainting / object-removal models (LaMa Apache-2.0 + MI-GAN MIT). Loaded by mlx-lama-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MI-GAN-256-places2-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "6.29305M",
|
||
"parameters_raw": 6293045,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Inpainting (MLX)",
|
||
"description": "Apple-MLX fp16 inpainting / object-removal models (LaMa Apache-2.0 + MI-GAN MIT). Loaded by mlx-lama-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/MI-GAN-256-ffhq-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "6.29305M",
|
||
"parameters_raw": 6293045,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Inpainting (MLX)",
|
||
"description": "Apple-MLX fp16 inpainting / object-removal models (LaMa Apache-2.0 + MI-GAN MIT). Loaded by mlx-lama-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LaMa-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "51.057M",
|
||
"parameters_raw": 51057027,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Inpainting (MLX)",
|
||
"description": "Apple-MLX fp16 inpainting / object-removal models (LaMa Apache-2.0 + MI-GAN MIT). Loaded by mlx-lama-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DDColor-modelscope-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "227.882M",
|
||
"parameters_raw": 227881750,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DDColor (MLX)",
|
||
"description": "Apple-MLX fp16 builds of DDColor automatic image colorization (piddnad/DDColor, Apache-2.0). Loaded by mlx-ddcolor-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DDColor-paper-tiny-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "55.0193M",
|
||
"parameters_raw": 55019254,
|
||
"min_ram_gb": 1.0,
|
||
"recommended_ram_gb": 2.0,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DDColor (MLX)",
|
||
"description": "Apple-MLX fp16 builds of DDColor automatic image colorization (piddnad/DDColor, Apache-2.0). Loaded by mlx-ddcolor-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/DDColor-artistic-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "227.882M",
|
||
"parameters_raw": 227881750,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.2,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-to-image",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-24",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "DDColor (MLX)",
|
||
"description": "Apple-MLX fp16 builds of DDColor automatic image colorization (piddnad/DDColor, Apache-2.0). Loaded by mlx-ddcolor-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/BiRefNet-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "220.203M",
|
||
"parameters_raw": 220202578,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-segmentation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "BiRefNet (MLX)",
|
||
"description": "fp16 MLX BiRefNet matting: general @1024 (fast) + HR-matting @2048 (best). MIT. Loaded by xocialize/mlx-birefnet-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/BiRefNet_HR-matting-fp16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "220.203M",
|
||
"parameters_raw": 220202578,
|
||
"min_ram_gb": 1.1,
|
||
"recommended_ram_gb": 2.1,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-segmentation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-06-22",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "BiRefNet (MLX)",
|
||
"description": "fp16 MLX BiRefNet matting: general @1024 (fast) + HR-matting @2048 (best). MIT. Loaded by xocialize/mlx-birefnet-swift.",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/LongCat-Video-Avatar-1.5-bf16",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 17.1,
|
||
"recommended_ram_gb": 20.9,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "BF16",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-to-video",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-05-28",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "LongCat-Video-Avatar 1.5 — MLX",
|
||
"description": "Apple MLX port of Meituan's audio-driven video diffusion. Source + recipe: github.com/xocialize/longcat-avatar-mlx",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Perception-LM-8B",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "8B",
|
||
"parameters_raw": 8000000000,
|
||
"min_ram_gb": 5.6,
|
||
"recommended_ram_gb": 7.4,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2026-01-07",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "facebook Perception LM",
|
||
"description": "A collection of facebook perception language models",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/simclrv1-imagenet1k-resnet50-1x",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SimCLRv1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/simclrv1-imagenet1k-resnet50-2x",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SimCLRv1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/simclrv1-imagenet1k-resnet50-4x",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 5.0,
|
||
"recommended_ram_gb": 6.7,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-4bit",
|
||
"context_length": 32768,
|
||
"use_case": "general",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "image-classification",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-05-14",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "SimCLRv1",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/olmOCR-7B-0225-preview-8bit",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2025-03-03",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "olmOCR",
|
||
"description": "",
|
||
"_discovered": true
|
||
},
|
||
{
|
||
"name": "mlx-community/Molmo-7B-D-0924-8bit-skip-vision",
|
||
"provider": "mlx-community",
|
||
"parameter_count": "7B",
|
||
"parameters_raw": 7000000000,
|
||
"min_ram_gb": 9.0,
|
||
"recommended_ram_gb": 11.5,
|
||
"min_vram_gb": 0.0,
|
||
"quantization": "mlx-8bit",
|
||
"context_length": 32768,
|
||
"use_case": "multimodal",
|
||
"capabilities": [
|
||
"mlx"
|
||
],
|
||
"pipeline_tag": "text-generation",
|
||
"architecture": "",
|
||
"hf_downloads": 0,
|
||
"hf_likes": 0,
|
||
"release_date": "2024-11-20",
|
||
"format": "mlx",
|
||
"mlx_only": true,
|
||
"collection": "Molmo",
|
||
"description": "",
|
||
"_discovered": true
|
||
}
|
||
]
|