Phi-4-mini-instruct_rai_1.8.0_npu_16K

Phi-4-mini-instruct_rai_1.8.0_npu_16K

Source model: Phi-4-mini-instruct

• Introduction

  This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment (Token Fusion 16K context).

• Quantization Strategy

  • AWQ / Group 128 / Asymmetric / BFP16 activations / UINT4 Weights

• Quick Start

  For quickstart, refer to Ryzen AI documentation

Evaluation scores

Benchmark scores not yet available for this model.

License

Modifications copyright(c) 2025 Advanced Micro Devices, Inc. All rights reserved. AMD has modified the original model files for optimized deployment on AMD Ryzen AI hardware.

MIT License

Copyright (c) 2025 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.

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Third Party Notices

For third-party license information, see the Ryzen AI Models TPN License.