EmbeddedLLM/Phi-3-mini-4k-instruct-062024-int4-onnx-directml
By EmbeddedLLM · ↓ 0 · ♥ 0 · Updated 2024-08-06
What's in this repo
This page lists the files in EmbeddedLLM/Phi-3-mini-4k-instruct-062024-int4-onnx-directml, including model.onnx.
- 1 ONNX models (.onnx files)
- 15 files, including 7 .json, 2 .py, 1 .md, 1 .onnx, 1 .data, 1 .model
- Last updated 2024-08-06
ONNX files
| File | Size | Download |
|---|---|---|
| model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
EmbeddedLLM/Phi-3-mini-4k-instruct-062024-int4-onnx-directml
Model Summary
This model is an ONNX-optimized version of microsoft/Phi-3-mini-4k-instruct (June 2024), designed to provide accelerated inference on a variety of hardware using ONNX Runtime(CPU and DirectML). DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning, providing GPU acceleration for a wide range of supported hardware and drivers, including AMD, Intel, NVIDIA, and Qualcomm GPUs.
ONNX Models
Here are some of the optimized configurations we have added:
- ONNX model for int4 DirectML: ONNX model for AMD, Intel, and NVIDIA GPUs on Windows, quantized to int4 using AWQ.
Hardware Requirements
Minimum Configuration:
- Windows: DirectX 12-capable GPU (AMD/Nvidia)
- CPU: x86_64 / ARM64 Tested Configurations:
- GPU: AMD Ryzen 8000 Series iGPU (DirectML)
- CPU: AMD Ryzen CPU
Model Description
- Developed by: Microsoft
- Model type: ONNX
- Language(s) (NLP): Python, C, C++
- License: Apache License Version 2.0
- Model Description: This model is a conversion of the Phi-3-mini-4k-instruct-062024 for ONNX Runtime inference, optimized for DirectML.
Performance Metrics
DirectML
We measured the performance of DirectML on AMD Ryzen 9 7940HS /w Radeon 78
| Prompt Length | Generation Length | Average Throughput (tps) |
|---|---|---|
| 128 | 128 | - |
| 128 | 256 | - |
| 128 | 512 | - |
| 128 | 1024 | - |
| 256 | 128 | - |
| 256 | 256 | - |
| 256 | 512 | - |
| 256 | 1024 | - |
| 512 | 128 | - |
| 512 | 256 | - |
| 512 | 512 | - |
| 512 | 1024 | - |
| 1024 | 128 | - |
| 1024 | 256 | - |
| 1024 | 512 | - |
| 1024 | 1024 | - |
Model info
Created: 2024-07-17
Updated: 2024-08-06
View on Hugging Face