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-00009-of-00013.safetensors
- Xet hash:
- 0cfa616c87550a560781a9287350340b47ab0cdbd2cb5ffa3d5c117ce538f442
- Size of remote file:
- 4.98 GB
- SHA256:
- 310b6d2edf6f1ef76e442279b898c9e314f47d64a7b5b47cc00f0c9d4190113f
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