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-00001-of-00013.safetensors
- Xet hash:
- a98378ecb8f0ea26e05e76c938d5619152fe81bbcfece2dc6fe5a32aac21b69b
- Size of remote file:
- 5.2 GB
- SHA256:
- fab797e1b6456ce711b68515ee5074ab2b683312ef62dd819305fc2990bc2dd3
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