amd/Llama-3.1-8B-awq-g128-int4-asym-fp16-onnx-hybrid

meta-llama/Llama-3.1-8B

• Introduction

  • Quantization Tool: Quark 0.6.0
  • OGA Model Builder: v0.5.1
  • Postprocess

• Quantization Strategy

  • AWQ / Group 128 / Asymmetric / UINT4 Weights / FP16 activations
  • Excluded Layers: None

  python3 quantize_quark.py \
        --model_dir "$model" \
        --output_dir "$output_dir" \
        --quant_scheme w_uint4_per_group_asym \
        --num_calib_data 128 \
        --quant_algo awq \
        --dataset pileval_for_awq_benchmark \
        --seq_len 512 \
        --model_export quark_safetensors \
        --data_type float16 \
        --exclude_layers [] \
        --custom_mode awq
  

• OGA Model Builder

  python builder.py \
    -i <quantized safetensor model dir> \
    -o <oga model output dir> \
    -p int4 \
    -e dml
  

• PostProcessed to generate Hybrid Model

• Quick Start

  For quickstart, refer to hybrid-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 6.8504.

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.

LLAMA 3.1 COMMUNITY LICENSE AGREEMENT

Llama 3.1 Version Release Date: July 23, 2024

"Agreement" means the terms and conditions for use, reproduction, distribution and modification of the Llama Materials set forth herein.

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"Llama 3.1" means the foundational large language models and software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code and other elements of the foregoing distributed by Meta at https://llama.meta.com/llama-downloads.

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