Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+pipeline_tag: text-generation
+tags:
+- pytorch
+- ONNX
+- DirectML
+- DML
+- conversational
+- ONNXRuntime
+- custom_code
+---
+
+# Yi-1.5-6B-Chat ONNX models for DirectML
+This repository hosts the optimized versions of [01-ai/Yi-1.5-6B-Chat](https://huggingface.co/01-ai/Yi-1.5-6B-Chat) to accelerate inference with ONNX Runtime for DirectML.
+
+## Usage on Windows (Intel / AMD / Nvidia / Qualcomm)
+```powershell
+conda create -n onnx python=3.10
+conda activate onnx
+winget install -e --id GitHub.GitLFS
+pip install huggingface-hub[cli]
+huggingface-cli download EmbeddedLLM/01-ai_Yi-1.5-6B-Chat-onnx --include=onnx/directml/01-ai_Yi-1.5-6B-Chat-int4 --local-dir .\01-ai_Yi-1.5-6B-Chat-int4
+pip install numpy==1.26.4
+Invoke-WebRequest -Uri "https://raw.githubusercontent.com/microsoft/onnxruntime-genai/main/examples/python/phi3-qa.py" -OutFile "phi3-qa.py"
+pip install onnxruntime-directml
+pip install --pre onnxruntime-genai-directml
+conda install conda-forge::vs2015_runtime
+python phi3-qa.py -m .\01-ai_Yi-1.5-6B-Chat-int4
+```
+
+## What is DirectML
+DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.