OGA_DML_Qwen_Qwen2.5-3B-Instruct

Qwen/Qwen2.5-3B-Instruct

• Introduction

  This model was created using Quark Quantization, followed by OGA Model Builder for OGA-DML export.

• Quantization Strategy

  • This Model is Quantized using Quark-0.9 and then perfomed OGA-DML export.
  • Packages required transformers-4.50.0, OGA-0.7.1, ORT-1.21.1
  • AWQ / Group 128 / Asymmetric / BF16 activations / UINT4 Weights
  • python quantize_quark.py --model_dir "$model"
    --output_dir "$output_dir"
    --quant_scheme w_int4_per_group_sym
    --num_calib_data 128
    --dataset pileval_for_awq_benchmark
    --model_export hf_format
    --data_type bfloat16
    --group_size 128
    --quant_algo awq
    --exclude_layers

• For DML Export

  • Packages required transformers-4.50.0, OGA-0.7.1, ORT-1.21.1
  • python -m onnxruntime_genai.models.builder
    -i "path/to/quark-quantized/model/"
    -o "path/to/output/dir"
    -p int4
    -e dml

• Perplexity Numbers

  • HF Model - 8.56457710266113
  • Quark-Quantized Model - 9.78733825683593

• Quick Start

  For quickstart, refer to Ryzen AI documentation

License

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

MIT License

Copyright (c) 2024 Advanced Micro Devices, Inc

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Tongyi Qianwen LICENSE AGREEMENT

Tongyi Qianwen Release Date: August 3, 2023

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