---
license: mit
library_name: unity-sentis
---

This is a work-in-progress attempt to use a Phi-3 model with Unity Sentis.

It's the [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) model converted to .onnx via optimum:

```
from optimum.onnxruntime import ORTModelForCausalLM

model_id = "microsoft/Phi-3-mini-4k-instruct"
model = ORTModelForCausalLM.from_pretrained(model_id, use_cache = False, use_io_binding=False, export=True, trust_remote_code=True, cache_dir=".")
model.save_pretrained("phi3_onnx_no_cache/")
```

Then quantized to a Uint8 .sentis model file using Sentis v1.6.0-pre.1

Usage will be possible with the [com.doji.transformers](https://github.com/julienkay/com.doji.transformers) library, but support for LLMs is not officially released yet.