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-00008-of-00013.safetensors
- Xet hash:
- f4a222321b2ffc51d425aa78a6ec259e03d4f8f6655af34797b103ca3bfba359
- Size of remote file:
- 4.98 GB
- SHA256:
- 2d15249206ca7db6d51d92b90a0374051542de9c1762c9fc3204b78305979f7e
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