save

requirements.txt

@@ -1,190 +1,121 @@
 # 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
+    # via 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
+    # via gradio
 aiohappyeyeballs==2.6.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   aiohttp
+    # via aiohttp
 aiohttp==3.13.2
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   fsspec
+    # via fsspec
 aiosignal==1.4.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   aiohttp
+    # via aiohttp
 annotated-doc==0.0.4
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   fastapi
+    # via fastapi
 annotated-types==0.7.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   pydantic
+    # via 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)
+audioop-lts==0.2.2
+    # via gradio
 auto-round @ git+https://github.com/intel/auto-round.git@5ffe56ddc51cbc69cd6fe87a0b8a7d91e28bf522
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   llmcompressor
-av==16.0.1
-    # via qwen-vl-utils
+    # via llmcompressor
 brotli==1.2.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via 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
+    # via mbstrdecoder
 charset-normalizer==3.4.4
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   requests
+    # via 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
+    # via llmcompressor
 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
+    # via lm-eval
 fastapi==0.122.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via gradio
 ffmpy==1.0.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via 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
+gradio==6.0.1
     # via llm-compressor-my-repo (pyproject.toml)
+gradio-client==2.0.0
+    # via gradio
 groovy==0.1.2
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via 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
+    # via huggingface-hub
 httpcore==1.0.9
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   httpx
+    # via httpx
 httpx==0.28.1
     # via
-    #   llm-compressor-my-repo (pyproject.toml)
     #   datasets
     #   gradio
     #   gradio-client
-    #   huggingface-hub
     #   safehttpx
-huggingface-hub==1.1.6
+huggingface-hub==0.36.0
     # via
-    #   llm-compressor-my-repo (pyproject.toml)
     #   accelerate
     #   datasets
     #   evaluate
@@ -195,94 +126,63 @@ huggingface-hub==1.1.6
     #   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
+    # via 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
+    # via 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
+    # via sacrebleu
 markdown-it-py==4.0.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   rich
+    # via 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
+    # via markdown-it-py
 more-itertools==10.8.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via lm-eval
 mpmath==1.3.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   sympy
+    # via 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
+    # via torch
 nltk==3.9.2
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   rouge-score
+    # via rouge-score
 numexpr==2.14.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via lm-eval
 numpy==2.3.5
     # via
-    #   llm-compressor-my-repo (pyproject.toml)
     #   accelerate
     #   auto-round
     #   datasets
@@ -300,81 +200,49 @@ numpy==2.3.5
     #   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
+    # via torch
 nvidia-cuda-nvrtc-cu12==12.8.93
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 nvidia-cuda-runtime-cu12==12.8.90
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 nvidia-cudnn-cu12==9.10.2.21
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 nvidia-cufft-cu12==11.3.3.83
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 nvidia-cufile-cu12==1.13.1.3
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 nvidia-curand-cu12==10.3.9.90
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 nvidia-cusolver-cu12==11.7.3.90
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via 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
+    # via torch
 nvidia-ml-py==13.580.82
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   llmcompressor
+    # via llmcompressor
 nvidia-nccl-cu12==2.27.5
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via 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
+    # via torch
 nvidia-nvtx-cu12==12.8.90
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   torch
+    # via torch
 orjson==3.11.4
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via gradio
 packaging==25.0
     # via
-    #   llm-compressor-my-repo (pyproject.toml)
     #   accelerate
     #   auto-round
     #   datasets
@@ -383,100 +251,64 @@ packaging==25.0
     #   gradio-client
     #   huggingface-hub
     #   peft
-    #   qwen-vl-utils
     #   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
+    # via pytablewriter
 peft==0.18.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via lm-eval
 pillow==11.3.0
     # via
-    #   llm-compressor-my-repo (pyproject.toml)
     #   auto-round
     #   gradio
     #   llmcompressor
-    #   qwen-vl-utils
     #   torchvision
 portalocker==3.2.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   sacrebleu
+    # via 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
+    # via auto-round
 pyarrow==22.0.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   datasets
+    # via 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
+    # via lm-eval
 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
+    # via pydantic
 pydub==0.25.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via gradio
 pygments==2.19.2
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   rich
+    # via rich
 pytablewriter==1.2.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via 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
+    # via 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
@@ -484,117 +316,71 @@ pyyaml==6.0.3
     #   llmcompressor
     #   peft
     #   transformers
-qwen-vl-utils==0.0.14
-    # via llm-compressor-my-repo (pyproject.toml)
 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
+    #   huggingface-hub
     #   llmcompressor
-    #   qwen-vl-utils
     #   transformers
 rich==14.2.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   typer
+    # via 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
+    # via lm-eval
 sacrebleu==2.5.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via lm-eval
 safehttpx==0.1.7
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via 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
+    # via lm-eval
 scipy==1.16.3
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   scikit-learn
+    # via scikit-learn
 semantic-version==2.10.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via gradio
 sentencepiece==0.2.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   auto-round
+    # via 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
+    # via 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
+    # via 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
+    # via torch
 tabledata==1.3.4
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   pytablewriter
+    # via pytablewriter
 tabulate==0.9.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   sacrebleu
+    # via sacrebleu
 tcolorpy==0.1.7
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   pytablewriter
+    # via 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
+    # via transformers
 tomlkit==0.13.3
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   gradio
+    # via gradio
 torch==2.9.1
     # via
     #   llm-compressor-my-repo (pyproject.toml)
@@ -612,7 +398,6 @@ torchvision==0.24.1
     # via llm-compressor-my-repo (pyproject.toml)
 tqdm==4.67.1
     # via
-    #   llm-compressor-my-repo (pyproject.toml)
     #   auto-round
     #   datasets
     #   evaluate
@@ -623,86 +408,49 @@ tqdm==4.67.1
     #   tqdm-multiprocess
     #   transformers
 tqdm-multiprocess==0.0.11
+    # via lm-eval
+transformers==4.57.3
     # 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
+    # via 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
+    # via gradio
 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
+    # via pydantic
 tzdata==2025.2
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   pandas
+    # via pandas
 urllib3==2.5.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   requests
+    # via 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
+    # via gradio
 word2number==1.1
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via 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
+    # via aiohttp
 zstandard==0.25.0
-    # via
-    #   llm-compressor-my-repo (pyproject.toml)
-    #   lm-eval
+    # via lm-eval