Basis Sharing

This is the code for the paper "BASIS SHARING: CROSS-LAYER PARAMETER SHARING FOR LARGE LANGUAGE MODEL COMPRESSION". Some config examples are added in config directory.

Run Basis Sharing

To run Basis Sharing on LLaMA-7B for generation tasks, run

python test.py --cf tasks/configs/wikitext_ppl/llama/share2/share_llama_7b_20.yaml

make sure to set build_calib as true for a model, when you want to compress it for the first time.

After compress with WikiText, to test with other dataset run

python test.py --cf tasks/configs/wikitext_ppl/llama/share2/share_llama_7b_20.yaml --dataset_name <ptb, C4, WikiText>

For C4 you need to download them from link. Don't forget to update dataset_cache_dir in config file.

Run LoRA

python lora.py  --cf tasks/configs/wikitext_ppl/llama/share2/share_llama_7b_20.yaml

Run Reasoning tasks

python test_adapter.py --cf tasks/configs/wikitext_ppl/llama/share2/share_llama_7b_20.yaml

Run Throughput tasks

python test_throughput.py --cf tasks/configs/wikitext_ppl/llama/share2/share_llama_7b_20.yaml

Reference

@misc{{parametersharing2024,

title={Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression},

author={Jingcun Wang and Yu-Guang Chen and Ing-Chao Lin and Bing Li and Grace Li Zhang},

archivePrefix={arXiv},

year={2024} }