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custom-colossalai

PyPI · v0.4.9.3 · Apache Software License 2.0

An integrated large-scale model training system with efficient parallelization techniques

Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work

Technologies

Install

pip install custom-colossalai

Adoption

Adoption
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Popularity
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Dependents
Not published by PyPI
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Maintenance
0.31
DerivedRelease cadence and recency, 0 to 1
Releases per year
37
14 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v0.4.9.3
14 versions
First published
NOV 4, 2024
Last release
MAR 24, 2025
19mo ago
Licence
Apache Software License 2.0
Links
PyPI page
Homepage · colossalai.org
Docs · colossalai.readthedocs.io
Source · github.com

Repository

In the Crest catalog

hpcaitech/ColossalAI

Making large AI models cheaper, faster and more accessible

Stars
41.4K
Forks
4.5K
Language
Python
Last push
24d ago
Last release
17mo ago

Linked by the package’s own registry metadata.GitHub

Dependencies latest version · v0.4.9.3

Runtime 26

  • bitsandbytes>=0.39.0
  • clickAny version
  • contexttimerAny version
  • diffusers==0.29.0
  • einopsAny version
  • fabricAny version
  • fastapiAny version
  • galore_torchAny version
  • googleAny version
  • ninjaAny version
  • numpyAny version
  • packagingAny version
  • peft>=0.7.1
  • pre-commitAny version
  • protobufAny version
  • psutilAny version
  • pydanticAny version
  • rayAny version
  • richAny version
  • rpyc==6.0.0
  • safetensorsAny version
  • sentencepieceAny version
  • torch>=2.2.0
  • tqdmAny version
  • transformers>=4.39.3
  • uvicorn==0.29.0

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