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mlx-community 's collections 204

ACE-Step 1.5 (Swift-MLX)
The five MLX-layout bundles of ACE-Step 1.5 (MIT) that xocialize/mlx-ace-step-swift loads; converted bit-equal, gated vs the upstream oracle.
SenseNova-U1.5-8B-MoT (Swift/MLX port)
Apple Silicon artifacts for sensenova-u1-swift: base, 8-step distill (V1/V2), pose tiers, LoRA mirror.
SenseNova-U1.5-8B-MoT (MLX)
Unified T2I + editing + VQA on Apple Silicon via sensenova-u1-swift. 8step tiers = official distill merged, cfg-free.
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.
Qwen3 Next
Alibaba's first hybrid model, designed to cut resources and speed things up.
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
Qwen1.5
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
FLUX 3 Image Klein (MLX)
FLUX 3 Image Klein for Apple Silicon: the image model (FLUX Kommunity License, gated) and its Apache-2.0 prompt upsampler in bf16/8bit/4bit.
Ming-Image (MLX)
Ming-Image-0.1 (MIT): design text-to-image with native RGBA + layer decomposition. Swift/MLX: github.com/xocialize/ming-image-swift
Nemotron-Parse
MLX conversions of NVIDIA Nemotron-Parse-2.0: first MLX support for the architecture (new port, issue #1865 / PR #1866).
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.
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.
GLM4
The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks.
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.
ACE-Step 1.5 (Swift-MLX)
The five MLX-layout bundles of ACE-Step 1.5 (MIT) that xocialize/mlx-ace-step-swift loads; converted bit-equal, gated vs the upstream oracle.
FLUX 3 Image Klein (MLX)
FLUX 3 Image Klein for Apple Silicon: the image model (FLUX Kommunity License, gated) and its Apache-2.0 prompt upsampler in bf16/8bit/4bit.
SenseNova-U1.5-8B-MoT (Swift/MLX port)
Apple Silicon artifacts for sensenova-u1-swift: base, 8-step distill (V1/V2), pose tiers, LoRA mirror.
Ming-Image (MLX)
Ming-Image-0.1 (MIT): design text-to-image with native RGBA + layer decomposition. Swift/MLX: github.com/xocialize/ming-image-swift
SenseNova-U1.5-8B-MoT (MLX)
Unified T2I + editing + VQA on Apple Silicon via sensenova-u1-swift. 8step tiers = official distill merged, cfg-free.
Nemotron-Parse
MLX conversions of NVIDIA Nemotron-Parse-2.0: first MLX support for the architecture (new port, issue #1865 / PR #1866).
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.
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.
Qwen3 Next
Alibaba's first hybrid model, designed to cut resources and speed things up.
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
GLM4
The GLM-4 and Z1 series are powerful open-source language models excelling in reasoning, code, and complex tasks.
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
Qwen1.5
Qwen1.5 is the improved version of Qwen, the large language model series developed by Alibaba Cloud.
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.