ONNX Model Zoo

amd/Phi-3-mini-4k-instruct-onnx-ryzenai-npu

By amd · ↓ 12 · ♥ 0 · Updated 2025-10-23

What's in this repo

This page lists the files in amd/Phi-3-mini-4k-instruct-onnx-ryzenai-npu, including fusion.onnx.

  • 1 ONNX models (.onnx files)
  • 20 files, including 8 .json, 2 .bin, 1 .md, 1 .jinja, 1 .ctrlpkt, 1 .fconst
  • Last updated 2025-10-23

ONNX files

File Size Download
fusion.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

Phi-3-mini-4k-instruct-onnx-ryzenai-npu

  • Introduction

    This model was created using Quark Quantization, followed by OGA Model Builder, and finalized with post-processing for NPU deployment.
  • Quantization Strategy

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

    For quickstart, refer to Ryzen AI documentation

Evaluation scores

  • The perplexity measurement is run on the wikitext-2-raw-v1 (raw data) dataset provided by Hugging Face. Perplexity score measured for prompt length 2k is 6.63387.

  • The average MMLU scores are astronomy - 76.32, philosophy - 72.67 and management - 85.44.

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

Model info

text-generation transformers
transformers onnx nlp code amd ryzenai-npu text-generation conversational multilingual base_model:microsoft/Phi-3-mini-4k-instruct base_model:quantized:microsoft/Phi-3-mini-4k-instruct license:mit
↓ 12 ♥ 0

Created: 2025-09-28

Updated: 2025-10-23

View on Hugging Face

Files (20)

.cache/MatMulNBits_2_0_meta.json
.gitattributes
README.md
added_tokens.json
chat_template.jinja
config.json
dd_metastate_Llm_Token_MatMulNBits_2_0.ctrlpkt
dd_metastate_Llm_Token_MatMulNBits_2_0.fconst
dd_metastate_Llm_Token_MatMulNBits_2_0.state
dd_metastate_Llm_Token_MatMulNBits_2_0.super
fusion.onnx ONNX
fusion.onnx.data
genai_config.json
prefill.bin
prefill.pb.bin
rai_config.json
special_tokens_map.json
tokenizer.json
tokenizer.model
tokenizer_config.json

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