absl-py==2.1.*
accelerate==0.33.*
bitsandbytes==0.43.*
datasets==2.20.*
evaluate==0.4.*
loguru==0.7.*
matplotlib==3.8.*
numpy==1.26.*
opentsne==1.0.*
peft==0.12.*
rouge-score==0.1.*
scikit-learn==1.4.*
sentence_transformers==2.7.*
torch==2.2.*
tqdm==4.66.*
transformers==4.44.*