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Author:
None
Summary:
Distilabel is an AI Feedback (AIF) framework for building datasets with and for LLMs.
Latest version:
1.5.3
Required dependencies:
datasets
|
httpx
|
importlib-resources
|
jinja2
|
multiprocess
|
nest-asyncio
|
networkx
|
orjson
|
portalocker
|
pydantic
|
rich
|
scipy
|
setuptools
|
tblib
|
typer
|
universal-pathlib
Optional dependencies:
anthropic
|
argilla
|
cairosvg
|
cohere
|
datasketch
|
faiss-cpu
|
faiss-gpu
|
filelock
|
google-cloud-aiplatform
|
groq
|
huggingface-hub
|
instructor
|
ipython
|
litellm
|
llama-cpp-python
|
material-plausible-plugin
|
matplotlib
|
mike
|
mistralai
|
mkdocs-gen-files
|
mkdocs-glightbox
|
mkdocs-literate-nav
|
mkdocs-material
|
mkdocs-section-index
|
mkdocstrings
|
mknotebooks
|
mlx
|
mlx-lm
|
nest-asyncio
|
nltk
|
numba
|
ollama
|
openai
|
outlines
|
pandas
|
pillow
|
pre-commit
|
pytest
|
pytest-asyncio
|
pytest-codspeed
|
pytest-timeout
|
ray
|
ruff
|
scikit-learn
|
sentence-transformers
|
tabulate
|
torch
|
transformers
|
umap-learn
|
vllm
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