ONNX Model Zoo

amd/chatglm3-6b-onnx-ryzenai-hybrid

By amd · ↓ 2 · ♥ 0 · Updated 2025-10-23

What's in this repo

This page lists the files in amd/chatglm3-6b-onnx-ryzenai-hybrid, including model_jit.onnx.

  • 1 ONNX models (.onnx files)
  • 15 files, including 6 .json, 2 .bin, 1 .md, 1 .jinja, 1 .onnx, 1 .data
  • Last updated 2025-10-23

ONNX files

File Size Download
model_jit.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

chatglm3-6b

  • 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 doucmentation

Evaluation scores

The MMLU scores are, astronomy: 40.79, philosophy: 34.41, and management: 46.60.

License

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

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Model info

onnx glm chatglm thudm ryzenai-npu zh en base_model:zai-org/chatglm3-6b base_model:quantized:zai-org/chatglm3-6b region:us
↓ 2 ♥ 0

Created: 2025-09-28

Updated: 2025-10-23

View on Hugging Face

Files (15)

.gitattributes
README.md
chat_template.jinja
config.json
genai_config.json
model_jit.bin
model_jit.onnx ONNX
model_jit.onnx.data
model_jit.pb.bin
rai_config.json
special_tokens_map.json
tokenization_chatglm.py
tokenizer.json
tokenizer.model
tokenizer_config.json

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