Instructions to use a-m4-user/Qwen3-Med-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use a-m4-user/Qwen3-Med-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download a-m4-user/Qwen3-Med-MLX --local-dir Qwen3-Med-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen3-Med-MLX
This model is a quantized version of Qwen2.5-7B-Medical-Instruct, optimized for Apple Silicon using MLX.
Usage
This model is optimized for MLX (Apple Silicon). When using this model, please set the following parameters to avoid repetition loops:
- Repetition Penalty: 1.2 or higher
- Temperature: 0.7
Quantization details
- Format: 4-bit (MLX)
- Creator: a-m4-user
- Downloads last month
- 13
Model size
8B params
Tensor type
U32
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F16 ·
Hardware compatibility
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4-bit
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