SQFT Base Model: sqft-mistral-7b-v0.3-base-gptq

• Source Model: mistralai/Mistral-7B-v0.3
• Quantization: GPTQ-INT4

Model Sources

• Repository: https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT
• Paper: SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models

Citation

@article{munoz2024sqft,
  title = {SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models},
  author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
  journal={The 2024 Conference on Empirical Methods in Natural Language Processing (Findings)},
  year={2024}
}

License

Apache-2.0