Phi-4-mini-instruct-onnx-ryzenai-hybrid

microsoft/Phi-4-mini-instruct

• Introduction

  This model was prepared using the AMD Quark Quantization tool, followed by necessary post-processing.

• Quantization Strategy

  • GPTQ / Group size per layer lm_head 32 / Asymmetric / UINT4 Weights / BFP16 activations
  • Excluded Layers: None

• Quick Start

For quickstart, refer to Ryzen AI doucmentation

Evaluation scores

The MMLU scores are, astronomy: 67.76, philosophy: 69.45, and management: 72.82

License

Modifications copyright(c) 2024 Advanced Micro Devices,Inc. All rights reserved.

MIT License

Copyright (c) 2024 Advanced Micro Devices, Inc

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

license: MIT license