Instructions to use oscardeng/Bio-Medical-Llama-3.2-1B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use oscardeng/Bio-Medical-Llama-3.2-1B-MLX-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Bio-Medical-Llama-3.2-1B-MLX-4bit oscardeng/Bio-Medical-Llama-3.2-1B-MLX-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Bio-Medical-Llama-3.2-1B-MLX-4bit
This is a 4-bit quantized MLX version of ContactDoctor/Bio-Medical-Llama-3-2-1B-CoT-012025 for efficient inference on Apple Silicon.
Model Details
- Base Model: Bio-Medical-Llama-3-2-1B-CoT-012025
- Format: MLX (Apple Silicon optimized)
- Quantization: 4-bit (~4.5 bits per weight)
- Size: ~685 MB
- Parameters: 1B
- Use Case: Medical/Healthcare Q&A on iOS devices
Usage
from mlx_lm import load, generate
model, tokenizer = load("oscardeng/Bio-Medical-Llama-3.2-1B-MLX-4bit")
prompt = "What are the common symptoms of type 2 diabetes?"
messages = [{"role": "user", "content": prompt}]
formatted = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
response = generate(model, tokenizer, prompt=formatted, max_tokens=256)
print(response)
Disclaimer
This model is for informational purposes only and should not be used as a substitute for professional medical advice, diagnosis, or treatment. Always consult with a qualified healthcare provider.
License
This model inherits the Llama 3.2 Community License from the base model.
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Model size
0.2B params
Tensor type
F16
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U32 ·
Hardware compatibility
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4-bit
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