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mlx-community/GLM-5.2-DQ4plus-q8:Garbage very soon in the output
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mlx-community/OmniVoice-bf16
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mlx-community/GLM-5.2-4bit:big thank you for providing this 4bit mlx.
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mlx-community 's collections 171

Gemma-4-12b-coder-fable5-composer2.5
MLX conversions of Gemma-4-12b-coder-fable5-composer2.5 for Apple Silicon Chips
Cocktail-Fork MRX (MLX)
MERL MRX ported to Apple MLX — 3-stem music/speech/sfx soundtrack separation. Numerically exact vs PyTorch. 4 variants.
SongGeneration v2 MLX
Apple MLX checkpoints for Tencent SongGeneration v2 medium and large audiolm token generation.
MiniCPM-V 4.6
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
UNCENSORED Qwen 3.6 27B
MedGemma-1.5
MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it
ServiceNow-Apriel
Apriel-1.5-15b-Thinker is a multimodal reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against models 10 time
MedGemma
Collection of Gemma 3 variants for performance on medical text and image comprehension to accelerate building healthcare-based AI applications.
Gemma 3
A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models
Qwen2.5
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
Llama 3.2
Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.
Real-ESRGAN (MLX)
Apple MLX fp16 ports of Real-ESRGAN super-resolution (RRDBNet + SRVGGNetCompact), 5 variants, BSD-3.
Abliterated Huihui LFM2.5-8B-A1B (MLX)
kinda of uncensored LFM-2.5-8B-1B-Activated-of-8B
Lens 3.8B (MLX)
Apple MLX conversions of microsoft/Lens — 3.8B text-to-image DiT (GPT-OSS features + FLUX.2 VAE) for Apple Silicon. bf16 + int4/int8.
Josiefied and Abliterated Models
💧LFM2-8B-A1B-MoE
Best in Class MoE, better than Qwen3. Optimised for Smaller devices sub 16 GB (M1/2/3/4) Apple Silicon.
Qwen3-Coder-MoE
💻 Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving ~Claude Sonnet.
Josiefied and Abliterated Qwen3
Abliterated, and further fine-tuned to be the most uncensored models available. Now in MLX
Gemma 3 QAT
Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.
Josiefied and Abliterated Qwen2.5
The best uncensored models
Gemma-4-12b-coder-fable5-composer2.5
MLX conversions of Gemma-4-12b-coder-fable5-composer2.5 for Apple Silicon Chips
Real-ESRGAN (MLX)
Apple MLX fp16 ports of Real-ESRGAN super-resolution (RRDBNet + SRVGGNetCompact), 5 variants, BSD-3.
Cocktail-Fork MRX (MLX)
MERL MRX ported to Apple MLX — 3-stem music/speech/sfx soundtrack separation. Numerically exact vs PyTorch. 4 variants.
Abliterated Huihui LFM2.5-8B-A1B (MLX)
kinda of uncensored LFM-2.5-8B-1B-Activated-of-8B
Lens 3.8B (MLX)
Apple MLX conversions of microsoft/Lens — 3.8B text-to-image DiT (GPT-OSS features + FLUX.2 VAE) for Apple Silicon. bf16 + int4/int8.
SongGeneration v2 MLX
Apple MLX checkpoints for Tencent SongGeneration v2 medium and large audiolm token generation.
MiniCPM-V 4.6
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
UNCENSORED Qwen 3.6 27B
MedGemma-1.5
MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it
Josiefied and Abliterated Models
💧LFM2-8B-A1B-MoE
Best in Class MoE, better than Qwen3. Optimised for Smaller devices sub 16 GB (M1/2/3/4) Apple Silicon.
ServiceNow-Apriel
Apriel-1.5-15b-Thinker is a multimodal reasoning model in ServiceNow’s Apriel SLM series which achieves competitive performance against models 10 time
Qwen3-Coder-MoE
💻 Significant Performance: among open models on Agentic Coding, Agentic Browser-Use, and other foundational coding tasks, achieving ~Claude Sonnet.
MedGemma
Collection of Gemma 3 variants for performance on medical text and image comprehension to accelerate building healthcare-based AI applications.
Josiefied and Abliterated Qwen3
Abliterated, and further fine-tuned to be the most uncensored models available. Now in MLX
Gemma 3 QAT
Quantization Aware Trained (QAT) Gemma 3 checkpoints. The model preserves similar quality as half precision while using 3x less memory.
Gemma 3
A collection of lightweight, state-of-the-art open models built from the same research and technology that powers the Gemini 2.0 models
Josiefied and Abliterated Qwen2.5
The best uncensored models
Qwen2.5
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
Llama 3.2
Meta goes small with Llama3.2, both text only 1B and 3B, and the 11B Vision models.