amd/chatglm3-6b-awq-g128-int4-asym-bf16-onnx-ryzen-strix

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 / BF16 activations / UINT4 weights

• Quick Start

For quickstart, refer to npu-llm-artifacts_1.3.0.zip available in RyzenAI-SW-EA

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 29.81679.

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.