datasets==3.4.1
accelerate==1.6.0
peft==0.15.1
trl==0.9.6
gradio==4.44.1
scipy==1.14.1
einops==0.8.0
sentencepiece
protobuf==5.26.0
jieba==0.42.1
rouge-chinese==1.0.3
nltk==3.9.1
uvicorn==0.32.1
pydantic==2.8.0
fastapi==0.115.6
sse-starlette==2.1.3
matplotlib==3.9.3
deepspeed==0.16.4
bitsandbytes==0.45.3
transformers==4.55.0
pyusb==1.2.1
aiocsv==1.3.2
hqq==0.2.2
schedule==1.2.2

tiktoken==0.8.0
fire==0.7.0
packaging==24.2
pandas==2.2.3
av==14.0.1
tyro==0.8.14
numpy==1.26.4
