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awesome-llama: https://github.com/AI-Hypercomputer/JetStream

gemma gpt gpu inference jax large-language-models llama llama2 llm llm-inference llmops mlops model-serving pytorch tpu transformer

Score: 9.699043078654402

Last synced: about 9 hours ago
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Repository metadata:

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 4 days ago

Total Commits: 232
Total Committers: 38
Avg Commits per committer: 6.105
Development Distribution Score (DDS): 0.815

Commits in past year: 93
Committers in past year: 20
Avg Commits per committer in past year: 4.65
Development Distribution Score (DDS) in past year: 0.839

Name Email Commits
Zijun Zhou z****u@g****m 43
Fanhai Lu 1****1 19
Yong Xia y****x@g****m 15
Brendan Slabe s****e@g****m 12
Vipan Nalla 3****a 12
Yuyan Peng y****g@g****m 11
Morgan Du m****u@g****m 9
Yijia j****4@g****m 9
Lumosis 3****s 9
Vijaya m****h@g****m 8
wyzhang w****g@g****m 8
Zhihao Shan 6****e 7
jetstream authors n****y@g****m 7
Aman Gupta 4****0 6
dependabot[bot] 4****] 6
Yijia Jin y****j@g****m 6
vivianrwu v****u@g****m 5
Bhavya Bahl b****l@g****m 4
bzgoogle b****z@g****m 4
jwyang-google 1****e 4
Andy Ye a****3@g****m 3
Lance Wang l****g@g****m 3
deqiangc 8****c 3
qihqi h****q@g****m 3
Pate Motter p****@t****m 2
wenxindongwork w****g@g****m 2
sixiang-google s****g@g****m 1
singh-mitali m****h@g****m 1
gpolovets1 g****s@g****m 1
fenghuizhang 1****g 1
and 8 more...

Issue and Pull Request metadata

Last synced: 26 days ago

Total issues: 14
Total pull requests: 236
Average time to close issues: 16 days
Average time to close pull requests: 2 days
Total issue authors: 6
Total pull request authors: 29
Average comments per issue: 0.07
Average comments per pull request: 0.59
Merged pull request: 173
Bot issues: 0
Bot pull requests: 2

Past year issues: 2
Past year pull requests: 222
Past year average time to close issues: N/A
Past year average time to close pull requests: 2 days
Past year issue authors: 2
Past year pull request authors: 26
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.53
Past year merged pull request: 162
Past year bot issues: 0
Past year bot pull requests: 2

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/AI-Hypercomputer/JetStream

Top Issue Authors

  • barbaryyazd09133545880 (8)
  • salaki (2)
  • samos123 (1)
  • ChewKokWah (1)
  • JeffLuoo (1)
  • peregilk (1)

Top Pull Request Authors

  • xy12181 (35)
  • jyj0w0 (26)
  • yuyanpeng-google (24)
  • Lumosis (19)
  • wyzhang (15)
  • vipannalla (15)
  • mailvijayasingh (14)
  • deqiangc (12)
  • aman2930 (10)
  • bzgoogle (9)
  • wang2yn84 (9)
  • wenxindongwork (6)
  • sixiang-google (4)
  • zhihaoshan-google (4)
  • karan (4)

Top Issue Labels

Top Pull Request Labels

  • pull ready (59)
  • dependencies (2)
  • python (2)

Dependencies

requirements.in pypi
  • absl-py *
  • flax *
  • grpcio *
  • jax *
  • jaxlib *
  • numpy *
  • portpicker *
  • seqio *
requirements.txt pypi
  • absl-py ==1.4.0
  • array-record ==0.5.0
  • astunparse ==1.6.3
  • cachetools ==5.3.2
  • certifi ==2024.2.2
  • charset-normalizer ==3.3.2
  • chex ==0.1.7
  • click ==8.1.7
  • clu ==0.0.10
  • contextlib2 ==21.6.0
  • dm-tree ==0.1.8
  • docstring-parser ==0.15
  • editdistance ==0.6.2
  • etils ==1.6.0
  • flatbuffers ==23.5.26
  • flax ==0.8.0
  • fsspec ==2023.12.2
  • gast ==0.4.0
  • google-auth ==2.27.0
  • google-auth-oauthlib ==1.0.0
  • google-pasta ==0.2.0
  • googleapis-common-protos ==1.62.0
  • grpcio ==1.60.1
  • h5py ==3.10.0
  • idna ==3.6
  • importlib-resources ==6.1.1
  • jax ==0.4.23
  • jaxlib ==0.4.23
  • keras ==2.13.1
  • libclang ==16.0.6
  • markdown ==3.5.2
  • markdown-it-py ==3.0.0
  • markupsafe ==2.1.5
  • mdurl ==0.1.2
  • ml-collections ==0.1.1
  • ml-dtypes ==0.3.2
  • msgpack ==1.0.7
  • nest-asyncio ==1.6.0
  • numpy ==1.23.1
  • oauthlib ==3.2.2
  • opt-einsum ==3.3.0
  • optax ==0.1.8
  • orbax-checkpoint ==0.5.2
  • packaging ==23.2
  • portpicker ==1.6.0
  • promise ==2.3
  • protobuf ==3.20.3
  • psutil ==5.9.8
  • pyasn1 ==0.5.1
  • pyasn1-modules ==0.3.0
  • pyglove ==0.4.4
  • pygments ==2.17.2
  • pyyaml ==6.0.1
  • requests ==2.31.0
  • requests-oauthlib ==1.3.1
  • rich ==13.7.0
  • rsa ==4.9
  • scipy ==1.12.0
  • sentencepiece ==0.1.99
  • seqio ==0.0.19
  • six ==1.16.0
  • tensorboard ==2.13.0
  • tensorboard-data-server ==0.7.2
  • tensorflow ==2.13.1
  • tensorflow-estimator ==2.13.0
  • tensorflow-hub ==0.16.1
  • tensorflow-io-gcs-filesystem ==0.35.0
  • tensorflow-metadata ==1.14.0
  • tensorflow-text ==2.13.0
  • tensorstore ==0.1.52
  • termcolor ==2.4.0
  • tf-keras ==2.15.0
  • tfds-nightly ==4.9.2.dev202308090034
  • toml ==0.10.2
  • toolz ==0.12.1
  • tqdm ==4.66.1
  • typing-extensions ==4.5.0
  • urllib3 ==2.2.0
  • werkzeug ==3.0.1
  • wheel ==0.42.0
  • wrapt ==1.16.0
  • zipp ==3.17.0
setup.py pypi
benchmarks/requirements.in pypi
  • evaluate *
  • nltk *
  • rouge-score *
.github/workflows/release.yaml actions
  • actions/checkout v4 composite
  • actions/github-script v6 composite
  • actions/setup-python v4 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/unit_tests.yaml actions
  • actions/checkout v4 composite
  • actions/setup-python v4 composite