Phi-3 Mini-4K-Instruct ONNX model for onnxruntime-web
This is the same models as the official phi3 onnx model with a few changes to make it work for onnxruntime-web:
- the model is fp16 with int4 block quantization for weights
- the 'logits' output is fp32
- the model uses MHA instead of GQA
- onnx and external data file need to stay below 2GB to be cacheable in chromium
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