alpaca-lora / requirements.txt
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feat: first commit with alpaca-lora Low-Rank LLaMA Instruct-Tuning example
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#
# This file is autogenerated by pip-compile with Python 3.10
# by the following command:
#
# pip-compile --output-file=requirements.txt requirements.in
#
accelerate==0.17.1
# via peft
aiofiles==23.1.0
# via gradio
aiohttp==3.8.4
# via
# datasets
# fsspec
# gradio
aiosignal==1.3.1
# via aiohttp
altair==4.2.2
# via gradio
anyio==3.6.2
# via
# httpcore
# starlette
async-timeout==4.0.2
# via aiohttp
attrs==22.2.0
# via
# aiohttp
# jsonschema
bitsandbytes==0.37.1
# via -r requirements.in
certifi==2022.12.7
# via
# httpcore
# httpx
# requests
charset-normalizer==3.1.0
# via
# aiohttp
# requests
click==8.1.3
# via uvicorn
contourpy==1.0.7
# via matplotlib
cycler==0.11.0
# via matplotlib
datasets==2.10.1
# via -r requirements.in
dill==0.3.6
# via
# datasets
# multiprocess
entrypoints==0.4
# via altair
fastapi==0.94.1
# via gradio
ffmpy==0.3.0
# via gradio
filelock==3.10.0
# via
# huggingface-hub
# torch
# transformers
fonttools==4.39.2
# via matplotlib
frozenlist==1.3.3
# via
# aiohttp
# aiosignal
fsspec[http]==2023.3.0
# via
# datasets
# gradio
gradio==3.21.0
# via -r requirements.in
h11==0.14.0
# via
# httpcore
# uvicorn
httpcore==0.16.3
# via httpx
httpx==0.23.3
# via gradio
huggingface-hub==0.13.2
# via
# datasets
# gradio
# transformers
idna==3.4
# via
# anyio
# requests
# rfc3986
# yarl
jinja2==3.1.2
# via
# altair
# gradio
# torch
jsonschema==4.17.3
# via altair
kiwisolver==1.4.4
# via matplotlib
linkify-it-py==2.0.0
# via markdown-it-py
loralib==0.1.1
# via -r requirements.in
markdown-it-py[linkify]==2.2.0
# via
# gradio
# mdit-py-plugins
markupsafe==2.1.2
# via
# gradio
# jinja2
matplotlib==3.7.1
# via gradio
mdit-py-plugins==0.3.3
# via gradio
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
multidict==6.0.4
# via
# aiohttp
# yarl
multiprocess==0.70.14
# via datasets
networkx==3.0
# via torch
numpy==1.24.2
# via
# accelerate
# altair
# contourpy
# datasets
# gradio
# matplotlib
# pandas
# peft
# pyarrow
# transformers
orjson==3.8.7
# via gradio
packaging==23.0
# via
# accelerate
# datasets
# huggingface-hub
# matplotlib
# peft
# transformers
pandas==1.5.3
# via
# altair
# datasets
# gradio
peft @ git+https://github.com/huggingface/peft.git
# via -r requirements.in
pillow==9.4.0
# via
# gradio
# matplotlib
psutil==5.9.4
# via
# accelerate
# peft
pyarrow==11.0.0
# via datasets
pydantic==1.10.6
# via
# fastapi
# gradio
pydub==0.25.1
# via gradio
pyparsing==3.0.9
# via matplotlib
pyrsistent==0.19.3
# via jsonschema
python-dateutil==2.8.2
# via
# matplotlib
# pandas
python-multipart==0.0.6
# via gradio
pytz==2022.7.1
# via pandas
pyyaml==6.0
# via
# accelerate
# datasets
# gradio
# huggingface-hub
# peft
# transformers
regex==2022.10.31
# via transformers
requests==2.28.2
# via
# datasets
# fsspec
# gradio
# huggingface-hub
# responses
# transformers
responses==0.18.0
# via datasets
rfc3986[idna2008]==1.5.0
# via httpx
sentencepiece==0.1.97
# via -r requirements.in
six==1.16.0
# via python-dateutil
sniffio==1.3.0
# via
# anyio
# httpcore
# httpx
starlette==0.26.1
# via fastapi
sympy==1.11.1
# via torch
tokenizers==0.13.2
# via transformers
toolz==0.12.0
# via altair
torch==2.0.0
# via
# accelerate
# peft
tqdm==4.65.0
# via
# datasets
# huggingface-hub
# transformers
transformers @ git+https://github.com/zphang/transformers@c3dc391
# via
# -r requirements.in
# peft
typing-extensions==4.5.0
# via
# gradio
# huggingface-hub
# pydantic
# torch
uc-micro-py==1.0.1
# via linkify-it-py
urllib3==1.26.15
# via
# requests
# responses
uvicorn==0.21.1
# via gradio
websockets==10.4
# via gradio
xxhash==3.2.0
# via datasets
yarl==1.8.2
# via aiohttp