---
license: apache-2.0
base_model:
- mistralai/Mistral-7B-Instruct-v0.3
---


# mistralai/Mistral-7B-Instruct-v0.3
- ## 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](https://account.amd.com/en/member/ryzenai-sw-ea.html)


#### 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 5.7053.

#### 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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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

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Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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    http://www.apache.org/licenses/LICENSE-2.0

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