llm-compressor-my-repo / requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile pyproject.toml -o requirements.txt
absl-py==2.3.1
# via
# llm-compressor-my-repo (pyproject.toml)
# rouge-score
accelerate==1.12.0
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
# llmcompressor
# lm-eval
# peft
aiofiles==24.1.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
aiohappyeyeballs==2.6.1
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
aiohttp==3.13.2
# via
# llm-compressor-my-repo (pyproject.toml)
# fsspec
aiosignal==1.4.0
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
annotated-doc==0.0.4
# via
# llm-compressor-my-repo (pyproject.toml)
# fastapi
annotated-types==0.7.0
# via
# llm-compressor-my-repo (pyproject.toml)
# pydantic
anyio==4.12.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
# httpx
# starlette
attrs==25.4.0
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
# jsonlines
authlib==1.6.5
# via llm-compressor-my-repo (pyproject.toml)
auto-round @ git+https://github.com/intel/auto-round.git@5ffe56ddc51cbc69cd6fe87a0b8a7d91e28bf522
# via
# llm-compressor-my-repo (pyproject.toml)
# llmcompressor
brotli==1.2.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
certifi==2025.11.12
# via
# llm-compressor-my-repo (pyproject.toml)
# httpcore
# httpx
# requests
cffi==2.0.0
# via
# llm-compressor-my-repo (pyproject.toml)
# cryptography
chardet==5.2.0
# via
# llm-compressor-my-repo (pyproject.toml)
# mbstrdecoder
charset-normalizer==3.4.4
# via
# llm-compressor-my-repo (pyproject.toml)
# requests
click==8.3.1
# via
# llm-compressor-my-repo (pyproject.toml)
# nltk
# typer
# typer-slim
# uvicorn
colorama==0.4.6
# via
# llm-compressor-my-repo (pyproject.toml)
# sacrebleu
# tqdm-multiprocess
compressed-tensors==0.12.3a20251114
# via
# llm-compressor-my-repo (pyproject.toml)
# llmcompressor
cryptography==46.0.3
# via
# llm-compressor-my-repo (pyproject.toml)
# authlib
dataproperty==1.1.0
# via
# llm-compressor-my-repo (pyproject.toml)
# pytablewriter
# tabledata
datasets==4.4.1
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
# evaluate
# llmcompressor
# lm-eval
dill==0.4.0
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# evaluate
# lm-eval
# multiprocess
evaluate==0.4.6
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
fastapi==0.122.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
ffmpy==1.0.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
filelock==3.20.0
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# huggingface-hub
# torch
# transformers
frozenlist==1.8.0
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
# aiosignal
fsspec==2025.10.0
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# evaluate
# gradio-client
# huggingface-hub
# torch
gradio==5.50.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio-huggingfacehub-search
gradio-client==1.14.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
gradio-huggingfacehub-search==0.0.12
# via llm-compressor-my-repo (pyproject.toml)
groovy==0.1.2
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
h11==0.16.0
# via
# llm-compressor-my-repo (pyproject.toml)
# httpcore
# uvicorn
hf-xet==1.2.0
# via
# llm-compressor-my-repo (pyproject.toml)
# huggingface-hub
httpcore==1.0.9
# via
# llm-compressor-my-repo (pyproject.toml)
# httpx
httpx==0.28.1
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# gradio
# gradio-client
# huggingface-hub
# safehttpx
huggingface-hub==1.1.6
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# datasets
# evaluate
# gradio
# gradio-client
# peft
# tokenizers
# transformers
idna==3.11
# via
# llm-compressor-my-repo (pyproject.toml)
# anyio
# httpx
# requests
# yarl
itsdangerous==2.2.0
# via llm-compressor-my-repo (pyproject.toml)
jinja2==3.1.6
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
# torch
joblib==1.5.2
# via
# llm-compressor-my-repo (pyproject.toml)
# nltk
# scikit-learn
jsonlines==4.0.0
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
llmcompressor @ git+https://github.com/vllm-project/llm-compressor.git@db0b68d9faf09066e9b7d679b39a977e484d9b91
# via llm-compressor-my-repo (pyproject.toml)
lm-eval==0.4.9.2
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
loguru==0.7.3
# via
# llm-compressor-my-repo (pyproject.toml)
# compressed-tensors
# llmcompressor
lxml==6.0.2
# via
# llm-compressor-my-repo (pyproject.toml)
# sacrebleu
markdown-it-py==4.0.0
# via
# llm-compressor-my-repo (pyproject.toml)
# rich
markupsafe==3.0.3
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
# jinja2
mbstrdecoder==1.1.4
# via
# llm-compressor-my-repo (pyproject.toml)
# dataproperty
# pytablewriter
# typepy
mdurl==0.1.2
# via
# llm-compressor-my-repo (pyproject.toml)
# markdown-it-py
more-itertools==10.8.0
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
mpmath==1.3.0
# via
# llm-compressor-my-repo (pyproject.toml)
# sympy
multidict==6.7.0
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
# yarl
multiprocess==0.70.18
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# evaluate
networkx==3.6
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nltk==3.9.2
# via
# llm-compressor-my-repo (pyproject.toml)
# rouge-score
numexpr==2.14.1
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
numpy==2.3.5
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# auto-round
# datasets
# evaluate
# gradio
# llmcompressor
# numexpr
# pandas
# peft
# rouge-score
# sacrebleu
# scikit-learn
# scipy
# transformers
nvidia-cublas-cu12==12.8.4.1
# via
# llm-compressor-my-repo (pyproject.toml)
# nvidia-cudnn-cu12
# nvidia-cusolver-cu12
# torch
nvidia-cuda-cupti-cu12==12.8.90
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cuda-nvrtc-cu12==12.8.93
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cuda-runtime-cu12==12.8.90
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cudnn-cu12==9.10.2.21
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cufft-cu12==11.3.3.83
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cufile-cu12==1.13.1.3
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-curand-cu12==10.3.9.90
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cusolver-cu12==11.7.3.90
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-cusparse-cu12==12.5.8.93
# via
# llm-compressor-my-repo (pyproject.toml)
# nvidia-cusolver-cu12
# torch
nvidia-cusparselt-cu12==0.7.1
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-ml-py==13.580.82
# via
# llm-compressor-my-repo (pyproject.toml)
# llmcompressor
nvidia-nccl-cu12==2.27.5
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-nvjitlink-cu12==12.8.93
# via
# llm-compressor-my-repo (pyproject.toml)
# nvidia-cufft-cu12
# nvidia-cusolver-cu12
# nvidia-cusparse-cu12
# torch
nvidia-nvshmem-cu12==3.3.20
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
nvidia-nvtx-cu12==12.8.90
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
orjson==3.11.4
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
packaging==25.0
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# auto-round
# datasets
# evaluate
# gradio
# gradio-client
# huggingface-hub
# peft
# transformers
# typepy
pandas==2.3.3
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# evaluate
# gradio
pathvalidate==3.3.1
# via
# llm-compressor-my-repo (pyproject.toml)
# pytablewriter
peft==0.18.0
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
pillow==11.3.0
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
# gradio
# llmcompressor
portalocker==3.2.0
# via
# llm-compressor-my-repo (pyproject.toml)
# sacrebleu
propcache==0.4.1
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
# yarl
psutil==7.1.3
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# peft
py-cpuinfo==9.0.0
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
pyarrow==22.0.0
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
pybind11==3.0.1
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
pycparser==2.23
# via
# llm-compressor-my-repo (pyproject.toml)
# cffi
pydantic==2.12.3
# via
# llm-compressor-my-repo (pyproject.toml)
# compressed-tensors
# fastapi
# gradio
pydantic-core==2.41.4
# via
# llm-compressor-my-repo (pyproject.toml)
# pydantic
pydub==0.25.1
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
pygments==2.19.2
# via
# llm-compressor-my-repo (pyproject.toml)
# rich
pytablewriter==1.2.1
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
python-dateutil==2.9.0.post0
# via
# llm-compressor-my-repo (pyproject.toml)
# pandas
# typepy
python-multipart==0.0.20
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
pytz==2025.2
# via
# llm-compressor-my-repo (pyproject.toml)
# pandas
# typepy
pyyaml==6.0.3
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# datasets
# gradio
# huggingface-hub
# llmcompressor
# peft
# transformers
regex==2025.11.3
# via
# llm-compressor-my-repo (pyproject.toml)
# nltk
# sacrebleu
# transformers
requests==2.32.5
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# evaluate
# llmcompressor
# transformers
rich==14.2.0
# via
# llm-compressor-my-repo (pyproject.toml)
# typer
rouge-score==0.1.2
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
ruff==0.14.7
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
sacrebleu==2.5.1
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
safehttpx==0.1.7
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
safetensors==0.7.0
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# peft
# transformers
scikit-learn==1.7.2
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
scipy==1.16.3
# via
# llm-compressor-my-repo (pyproject.toml)
# scikit-learn
semantic-version==2.10.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
sentencepiece==0.2.1
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
setuptools==80.9.0
# via
# llm-compressor-my-repo (pyproject.toml)
# pytablewriter
# torch
shellingham==1.5.4
# via
# llm-compressor-my-repo (pyproject.toml)
# huggingface-hub
# typer
six==1.17.0
# via
# llm-compressor-my-repo (pyproject.toml)
# python-dateutil
# rouge-score
sqlitedict==2.1.0
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
starlette==0.50.0
# via
# llm-compressor-my-repo (pyproject.toml)
# fastapi
# gradio
sympy==1.14.0
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
tabledata==1.3.4
# via
# llm-compressor-my-repo (pyproject.toml)
# pytablewriter
tabulate==0.9.0
# via
# llm-compressor-my-repo (pyproject.toml)
# sacrebleu
tcolorpy==0.1.7
# via
# llm-compressor-my-repo (pyproject.toml)
# pytablewriter
threadpoolctl==3.6.0
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
# scikit-learn
tokenizers==0.22.1
# via
# llm-compressor-my-repo (pyproject.toml)
# transformers
tomlkit==0.13.3
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
torch==2.9.1
# via
# llm-compressor-my-repo (pyproject.toml)
# accelerate
# auto-round
# compressed-tensors
# llmcompressor
# lm-eval
# peft
tqdm==4.67.1
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
# datasets
# evaluate
# huggingface-hub
# llmcompressor
# nltk
# peft
# tqdm-multiprocess
# transformers
tqdm-multiprocess==0.0.11
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
transformers @ git+https://github.com/huggingface/transformers.git@cac0a28c83cf87b7a05495de3177099c635ba852
# via
# llm-compressor-my-repo (pyproject.toml)
# auto-round
# compressed-tensors
# llmcompressor
# lm-eval
# peft
triton==3.5.1
# via
# llm-compressor-my-repo (pyproject.toml)
# torch
typepy==1.3.4
# via
# llm-compressor-my-repo (pyproject.toml)
# dataproperty
# pytablewriter
# tabledata
typer==0.20.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
typer-slim==0.20.0
# via
# llm-compressor-my-repo (pyproject.toml)
# huggingface-hub
# transformers
typing-extensions==4.15.0
# via
# llm-compressor-my-repo (pyproject.toml)
# aiosignal
# anyio
# fastapi
# gradio
# gradio-client
# huggingface-hub
# pydantic
# pydantic-core
# starlette
# torch
# typer
# typer-slim
# typing-inspection
typing-inspection==0.4.2
# via
# llm-compressor-my-repo (pyproject.toml)
# pydantic
tzdata==2025.2
# via
# llm-compressor-my-repo (pyproject.toml)
# pandas
urllib3==2.5.0
# via
# llm-compressor-my-repo (pyproject.toml)
# requests
uvicorn==0.38.0
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio
websockets==15.0.1
# via
# llm-compressor-my-repo (pyproject.toml)
# gradio-client
word2number==1.1
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval
xxhash==3.6.0
# via
# llm-compressor-my-repo (pyproject.toml)
# datasets
# evaluate
yarl==1.22.0
# via
# llm-compressor-my-repo (pyproject.toml)
# aiohttp
zstandard==0.25.0
# via
# llm-compressor-my-repo (pyproject.toml)
# lm-eval