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---
language:
- zh
- en
tags:
- glm
- chatglm
- thudm
base_model: THUDM/chatglm3-6b
---
# chatglm3-6b-awq-w-int4-asym-gs128-a-fp16-onnx-ryzen-strix-hybrid
- ## Introduction
This model was created by applying [Quark](https://quark.docs.amd.com/latest/index.html) with calibration samples from Pile dataset, and applying [onnxruntime-genai model builder](https://github.com/microsoft/onnxruntime-genai/tree/main/src/python/py/models) to convert to ONNX.
- ## Quantization Strategy
- ***Quantized Layers***: All linear layers, including "transformer.output_layer"
- ***Weight***: uint4 asymmetric per-group, with group size 128
- AWQ / Group 128 / Asymmetric / FP16 activations / INT4 weights
- ## Quick Start
For quickstart, refer to AMD [RyzenAI-SW-EA](https://account.amd.com/en/member/ryzenai-sw-ea.html) (to be updated)
#### 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.