An open API service for producing an overview of a list of open source projects.

awesome-llama: https://github.com/bigscience-workshop/petals

bloom chatbot deep-learning distributed-systems falcon gpt guanaco language-models large-language-models llama machine-learning mixtral neural-networks nlp pipeline-parallelism pretrained-models pytorch tensor-parallelism transformer volunteer-computing

Score: 18.49127041986827

Last synced: about 11 hours ago
JSON representation

Repository metadata:

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 8 days ago

Total Commits: 513
Total Committers: 20
Avg Commits per committer: 25.65
Development Distribution Score (DDS): 0.526

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Alexander Borzunov b****r@g****m 243
justheuristic j****c@g****m 184
Dmitry Baranchuk d****k@g****m 26
Artem Chumachenko a****k@g****m 22
Max Ryabinin m****0@g****m 16
Dmitry Baranchuk d****k@q****u 4
Anton Sinitsin 3****t 3
Pavel Samygin 4****y 2
Vadim Peretokin v****n@h****m 2
Dmitry Baranchuk d****k@z****t 1
Denis Mazur d****8@g****m 1
Egiazarian Vage V****7@y****u 1
FYY t****6@g****m 1
Guocheng n****a@o****m 1
Ikko Eltociear Ashimine e****r@g****m 1
Ink L****k@p****m 1
Muhtasham Oblokulov m****7@g****m 1
Pavel Samygin 4****y 1
Priyanshupareek 3****k 1
Shuchang Zhou s****u@g****m 1

Issue and Pull Request metadata

Last synced: 2 months ago

Total issues: 165
Total pull requests: 199
Average time to close issues: 25 days
Average time to close pull requests: 7 days
Total issue authors: 123
Total pull request authors: 24
Average comments per issue: 2.32
Average comments per pull request: 0.26
Merged pull request: 131
Bot issues: 0
Bot pull requests: 0

Past year issues: 5
Past year pull requests: 5
Past year average time to close issues: N/A
Past year average time to close pull requests: 25 minutes
Past year issue authors: 4
Past year pull request authors: 3
Past year average comments per issue: 0.4
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/bigscience-workshop/petals

Top Issue Authors

  • borzunov (17)
  • justheuristic (8)
  • ryanshrott (5)
  • slush0 (3)
  • Ted-developer (3)
  • artek0chumak (3)
  • pass-pass-pass (2)
  • worldpeaceenginelabs (2)
  • nrs-status (2)
  • sa1utyeggs (2)
  • Rohit-03 (2)
  • mberman84 (2)
  • oldcpple (2)
  • lbgws2 (2)
  • Thomasbomb (2)

Top Pull Request Authors

  • borzunov (98)
  • justheuristic (30)
  • artek0chumak (12)
  • xtinkt (10)
  • mryab (8)
  • dvmazur (8)
  • jmikedupont2 (7)
  • vadi2 (3)
  • mandlinsarah (3)
  • Vectorrent (2)
  • RomaA2000 (2)
  • kyoungbinkim (2)
  • jhancock1975 (2)
  • Bakobiibizo (2)
  • iateadonut (1)

Top Issue Labels

  • help wanted (9)
  • 1day (7)
  • good first issue (7)
  • enhancement (4)
  • bug (4)
  • documentation (3)
  • development (2)
  • research (1)

Top Pull Request Labels


Package metadata

pypi.org: petals

Easy way to efficiently run 100B+ language models without high-end GPUs

  • Homepage: https://github.com/bigscience-workshop/petals
  • Documentation: https://petals.readthedocs.io/
  • Licenses: MIT License
  • Latest release: 2.2.0 (published over 2 years ago)
  • Last Synced: 2026-01-08T19:51:09.105Z (27 days ago)
  • Versions: 18
  • Dependent Packages: 4
  • Dependent Repositories: 2
  • Downloads: 389 Last month
  • Docker Downloads: 129
  • Rankings:
    • Stargazers count: 0.333%
    • Forks count: 2.811%
    • Dependent packages count: 3.167%
    • Docker downloads count: 4.626%
    • Average: 4.809%
    • Downloads: 6.38%
    • Dependent repos count: 11.539%
  • Maintainers (3)
proxy.golang.org: github.com/bigscience-workshop/petals

pypi.org: test-petals

Easy way to efficiently run 100B+ language models without high-end GPUs

  • Homepage: https://github.com/bigscience-workshop/petals
  • Documentation: https://test-petals.readthedocs.io/
  • Licenses: MIT License
  • Latest release: 2.2.0.post1 (published about 2 years ago)
  • Last Synced: 2026-01-08T19:51:08.919Z (27 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 7 Last month
  • Rankings:
    • Dependent packages count: 10.002%
    • Average: 38.776%
    • Dependent repos count: 67.55%
  • Maintainers (1)

Dependencies

requirements-dev.txt pypi
  • black ==22.3.0 development
  • isort ==5.10.1 development
  • psutil * development
  • pytest-asyncio ==0.16.0 development
  • pytest-forked * development
requirements.txt pypi
  • accelerate ==0.10.0
  • huggingface-hub ==0.7.0
  • torch ==1.12.0