EmbeddedLLM/mistral-7b-instruct-v0.3-int4-onnx-directml

Mistral-7B-Instruct-v0.3 ONNX models for DirectML

This repository hosts the optimized versions of Mistral-7B-Instruct-v0.3 to accelerate inference with ONNX Runtime for DirectML.

Usage on Windows (Intel / AMD / Nvidia / Qualcomm)

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/mistral-7b-instruct-v0.3-int4-onnx-directml --local-dir .\mistral-7b-instruct-v0.3
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 .\mistral-7b-instruct-v0.3

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.