Ecosyste.ms: Summary

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awesome-llama: https://github.com/internlm/xtuner

agent baichuan chatbot chatglm2 chatglm3 conversational-ai internlm large-language-models llama2 llama3 llava llm llm-training mixtral msagent peft phi3 qwen supervised-finetuning

Score: 19.4739647890827

Last synced: about 5 hours ago
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Repository metadata:

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)


Owner metadata:


Committers metadata

Last synced: 3 days ago

Total Commits: 327
Total Committers: 32
Avg Commits per committer: 10.219
Development Distribution Score (DDS): 0.511

Commits in past year: 244
Committers in past year: 27
Avg Commits per committer in past year: 9.037
Development Distribution Score (DDS) in past year: 0.566

Name Email Commits
Zhihao Lin 3****a 160
whcao 4****h 105
pppppM 6****M 12
Shuhang Lv 7****o 5
RangiLyu l****i@g****m 5
pppppM g****l@1****m 5
humu789 8****9 2
fanqiNO1 7****1 2
Haian Huang(深度眸) h****n@s****m 2
Xu Song x****p@g****m 2
humu789 h****u@p****n 2
tpoisonooo k****n@a****m 2
amulil 1****l 2
LDLINGLINGLING 4****G 2
Ko Sung 3****g 2
Ikko Eltociear Ashimine e****r@g****m 1
Juicy 9****g 1
LKJacky 1****y 1
PommesPeter 5****r 1
bychen7 5****7 1
gzlong96 3****6 1
maxchiron 8****n 1
ooo oo 1****e 1
xzw 6****r 1
不要葱姜蒜 7****x 1
Haian Huang(深度眸) 1****9@q****m 1
Kevin Wang w****3@1****m 1
Sayo w****9@g****m 1
Wang Xinjiang s****g@g****m 1
Yanyi Liu w****u@1****m 1
and 2 more...

Issue and Pull Request metadata

Last synced: 4 days ago

Total issues: 75
Total pull requests: 105
Average time to close issues: 4 days
Average time to close pull requests: 1 day
Total issue authors: 64
Total pull request authors: 12
Average comments per issue: 1.65
Average comments per pull request: 0.14
Merged pull request: 94
Bot issues: 0
Bot pull requests: 0

Past year issues: 64
Past year pull requests: 25
Past year average time to close issues: 4 days
Past year average time to close pull requests: 4 days
Past year issue authors: 56
Past year pull request authors: 9
Past year average comments per issue: 1.41
Past year average comments per pull request: 0.48
Past year merged pull request: 17
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/internlm/xtuner

Top Issue Authors

  • vansin (2)
  • pppppM (2)
  • FlyCarrot (2)
  • vincent507cpu (2)
  • RyanOvO (2)
  • bjzhb666 (2)
  • YixinSong-e (2)
  • WallE-Chang (2)
  • xiaohangguo (2)
  • deep-practice (2)
  • iFe1er (2)
  • tcxia (1)
  • sxk000 (1)
  • Snowdar (1)
  • SingL3 (1)

Top Pull Request Authors

  • LZHgrla (60)
  • HIT-cwh (33)
  • humu789 (2)
  • fanqiNO1 (2)
  • ArtificialZeng (1)
  • yqyao (1)
  • KooSung (1)
  • llkn-2 (1)
  • tpoisonooo (1)
  • LDLINGLINGLING (1)
  • del-zhenwu (1)
  • ChenX17 (1)

Top Issue Labels

  • datasets (2)
  • gpu memory (2)
  • bitsandbytes (1)
  • prompt (1)
  • good first issue (1)
  • feature request (1)
  • deepspeed (1)

Top Pull Request Labels


Package metadata

proxy.golang.org: github.com/InternLM/xtuner

proxy.golang.org: github.com/internlm/xtuner

pypi.org: xtuner

An efficient, flexible and full-featured toolkit for fine-tuning large models

  • Homepage: https://github.com/InternLM/xtuner
  • Documentation: https://xtuner.readthedocs.io/
  • Licenses: Apache License 2.0
  • Latest release: 0.1.19 (published 4 months ago)
  • Last Synced: 2024-09-07T21:13:53.341Z (about 5 hours ago)
  • Versions: 25
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2,304 Last month
  • Rankings:
    • Dependent packages count: 7.49%
    • Average: 38.649%
    • Dependent repos count: 69.808%
  • Maintainers (1)

Dependencies

.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
requirements/deepspeed.txt pypi
  • deepspeed *
  • mpi4py-mpich *
requirements/runtime.txt pypi
  • SentencePiece *
  • bitsandbytes >=0.40.0
  • datasets *
  • einops *
  • mmengine >=0.8.4
  • peft >=0.4.0
  • scipy *
  • tiktoken *
  • torch *
  • transformers >=4.32.1
  • transformers_stream_generator *
requirements.txt pypi
setup.py pypi