Instructions to use sigjhl/medgemma-1.5-4b-it-MedCalcCaller-4bit-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sigjhl/medgemma-1.5-4b-it-MedCalcCaller-4bit-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir medgemma-1.5-4b-it-MedCalcCaller-4bit-mlx sigjhl/medgemma-1.5-4b-it-MedCalcCaller-4bit-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
MedGemma 1.5 4B MedCalcCaller (4-bit MLX-VLM)
This is a 4-bit MLX-VLM conversion of:
sigjhl/medgemma-1.5-4b-it-MedCalcCaller
Conversion settings:
- Tool:
mlx_vlm.convert - Quantization: 4-bit
- Group size: 64
This package preserves multimodal/vision components (Gemma3ForConditionalGeneration) and includes processor_config.json + preprocessor_config.json.
- Downloads last month
- 98
Model size
1B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
Log In to add your hardware
4-bit
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for sigjhl/medgemma-1.5-4b-it-MedCalcCaller-4bit-mlx
Base model
google/medgemma-1.5-4b-it Finetuned
sigjhl/medgemma-1.5-4b-it-MedCalcCaller