DeepSeek-R1-Distill-Qwen-1.5B-awq-asym-uint4-g128-lmhead-onnx-hybrid

• Introduction

  This model was created by applying Quark with calibration samples from Pile dataset.

• Quantization Strategy

  • Quantized Layers: All linear layers
  • Weight: uint4 asymmetric per-group, group_size=128

• Quick Start

1. Download and install Quark
2. Run the quantization script in the example folder using the following command line:

   export MODEL_DIR = [local model checkpoint folder] or Qwen2.5-Math-1.5B
   # single GPU
   python quantize_quark.py --model_dir $MODEL_DIR \
                           --output_dir output_dir $MODEL_NAME-awq-asym-uint4-g128-lmhead \
                           --quant_scheme w_uint4_per_group_asym \
                           --num_calib_data 128 \
                           --quant_algo awq \
                           --dataset pileval_for_awq_benchmark \
                           --seq_len 512 \
                           --model_export hf_format \
                           --data_type bfloat16 \
                           --exclude_layers
   # cpu
   python quantize_quark.py --model_dir $MODEL_DIR \
                           --output_dir output_dir $MODEL_NAME-awq-asym-uint4-g128-lmhead \
                           --quant_scheme w_uint4_per_group_asym \
                           --num_calib_data 128 \
                           --quant_algo awq \
                           --dataset pileval_for_awq_benchmark \
                           --seq_len 512 \
                           --model_export hf_format \
                           --data_type bfloat16 \
                           --exclude_layers \
                           --device cpu
   

License

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

MIT License

Copyright (c) 2023 DeepSeek

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.