metadata

language: en
license: apache-2.0

SQFT Fine-tuned Model: sqft-sparsepeft-llama-3-8b-30-gsm8k-heu (Patent application requirements, internal use only)

Base Model: IntelLabs/sqft-llama-3-8b-30-base
Sparsity: 30%
Quantization: No
Finetune Method: SQFT + SparsePEFT
Finetune data: GSM8K
Sub-Adapter: Heuristic

Evaluation

lm_eval --model hf --model_args pretrained=${MODEL_PATH},add_bos_token=True,trust_remote_code=True --tasks gsm8k --batch_size auto:4

Refer to our repo for the environment information to run this command.

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={},
  year={2024}
}

License

Apache-2.0