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Add unified MedFusion-AI (Pro+Lite) with pipeline & app
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# fokan/medsiglip-448-int8
INT8 dynamic quantized version of `google/medsiglip-448`
- Quantization: dynamic INT8 on all nn.Linear layers (PyTorch)
- Intended for CPU inference & smaller disk footprint
- Saved as `pytorch_model.bin` (quantized weights); config & processor included.
> Note: Quantized state_dict is stored with PyTorch serialization (not safetensors) due to quantization tensors.