MLX
Safetensors
qwen3_moe
causal-lm
Mixture of Experts
mixture-of-experts
qwen
distillation
svd
lora-merged
code-generation
mlx-my-repo
Instructions to use YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16 YOYO-AI/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-V2-FP32-mlx-fp16 / model-00003-of-00013.safetensors
- Xet hash:
- 88e8c3b35ea8beed618fe7b2f2f95fd3d93f25b783c01ca891f5a3704d4b7e28
- Size of remote file:
- 4.98 GB
- SHA256:
- 816a6e373a5dcbcd64a64645bf5c1ff86b5cfc4278c4eb7a3942ef7b0164778b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.