Paper: https://arxiv.org/pdf/2310.06694.pdf
Code: https://github.com/princeton-nlp/LLM-Shearing
Models: Sheared-LLaMA-1.3B, Sheared-LLaMA-2.7B
Pruned Models without Continued Pre-training: Sheared-LLaMA-1.3B-Pruned, Sheared-LLaMA-2.7B-Pruned
Instruction-tuned Models: Sheared-LLaMA-1.3B-ShareGPT, Sheared-LLaMA-2.7B-ShareGPT

License: Must comply with license of Llama2 since it's a model derived from Llama2.

Sheared-LLaMA-1.3B-Pruned is the model pruned from meta-llama/Llama-2-7b-hf without continued pre-training. We used roughly 0.4B tokens to perform the pruning experiment. This model could be a good use to study

• effective data mixtures for continued pre-training
• comparisons to other pruning techniques
• extensive evaluations to understand how pruning affects knowledge and reasoning capabilities of LLMs