metadata
license: apache-2.0
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
Training information
This is the instruction tuned version of princeton-nlp/Sheared-LLaMA-1.3B. We trained the base model on 10,000 instruction-response pairs sampled from the ShareGPT dataset (first-turns only). We use the following prompt to perform instruction tuning.
You are a helpful assistant. Write a response that appropriately completes the request.\n\n### Input:\n{input}\n\n### Response:
This model can be loaded through transformers.LlamaModelForCausalLM as follows:
from transformers import LlamaModelForCausalLM
model = LlamaModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-1.3B-ShareGPT")
Bibtex
If you find our model useful, consider citing us with:
@article{xia2023sheared,
title={Sheared llama: Accelerating language model pre-training via structured pruning},
author={Xia, Mengzhou and Gao, Tianyu and Zeng, Zhiyuan and Chen, Danqi},
journal={arXiv preprint arXiv:2310.06694},
year={2023}
}