SQFT Base Model: sqft-phi-3-mini-4k-50-base-gptq

• Source Model: microsoft/Phi-3-mini-4k-instruct
• Sparse Method: Wanda
• Sparsity: 50%
• 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

How to get this model

Refer to the commands in SQFT/run_command/phi-3-mini-4k-instruct/sparse_quantization.sh.

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}
}

Acknowledgement

Thanks to the sparse algorithm Wanda and the quantization method GPTQ.

License

Apache-2.0