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Automatically split your PyTorch models on multiple GPUs for training & inference

active 2023-08-162026-01-22 (UTC)

Complete coverage26,371 / 26,371 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
378
Pushes
0
Pull requests
2
Issues
21
Stars
315
Forks
19

Activity over time

Daily event counts in the loaded window

Line chart, 891 days from 2023-08-16 to 2026-01-22. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 21 total, peak 2 in a day. Comments: 21 total, peak 4 in a day. Stars: 315 total, peak 7 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue comment#84Tezcan982024-10-08 14:10
    Does tensor_parallel support multi-node tensor parallel training?
  • Issue comment#137Dr-Left2024-10-08 04:16
    Compatibility with `transformers > 4.36`: error: `AttributeError: 'tuple' object has no attribute 'to_legacy_cache'`
  • Issue comment#137lybbill2024-10-02 10:18
    Compatibility with `transformers > 4.36`: error: `AttributeError: 'tuple' object has no attribute 'to_legacy_cache'`
  • Issue#137Dr-Left2024-08-21 09:52
    Compatibility with `transformers > 4.36`: error: `AttributeError: 'tuple' object has no attribute 'to_legacy_cache'`
  • Issue comment#84deema-A2024-08-14 03:25
    Does tensor_parallel support multi-node tensor parallel training?
  • Issue comment#84PieterZanders2024-05-10 19:47
    Does tensor_parallel support multi-node tensor parallel training?
  • Issue#136MonolithFoundation2024-05-01 10:54
    Customized generate func support?
  • Issue comment#121GeneZC2024-04-19 03:54
    RuntimeError: NCCL Error 3: internal error
  • Issue#135Qiovo0662024-03-22 06:16
    when I use transforers==3.7.0,ValueError: TensorParallelPreTrainedModel does not support Flash Attention 2.0 yet。
  • Issue comment#66sgsdxzy2024-03-15 04:39
    Slow inference performance for large Llama models compared to naive MP
  • Issue comment#66dutsc2024-03-15 02:55
    Slow inference performance for large Llama models compared to naive MP
  • Pull request#134ReinForce-II2024-01-02 10:23
  • Issue#133ReinForce-II2024-01-02 08:43
    tensor_parallel int4 LLM is not working since release v2.0.0
  • Issue#132HanGyeol-Yoo2023-12-31 09:33
    Now, does tensor_parallel no longer support the huggingface trainer?
  • Issue comment#66chujiezheng2023-11-26 00:10
    Slow inference performance for large Llama models compared to naive MP
  • Issue#1303422154482023-11-14 12:08
    No implement of generate() when using models from
  • Issue#129toufunao2023-11-03 07:02
    TensorParallel object has no attribute save_pretrained
  • Issue comment#128yyya92023-10-27 13:51
    No output when using tensor_parallel
  • Issue#128yyya92023-10-27 13:49
    No output when using tensor_parallel
  • Issue#127yxk98102023-10-19 08:38
    How to use the model in a scenario where it is stored in the Safetenors format?
  • Issue#127yxk98102023-10-19 02:47
    How to use the model in a scenario where it is stored in the Safetenors format?
  • Issue#126JunyiYe2023-10-14 19:44
    Out of GPU memory for two A10 GPUs
  • Issue comment#126JunyiYe2023-10-14 19:44
    Out of GPU memory for two A10 GPUs
  • Issue#126JunyiYe2023-10-11 22:07
    Out of GPU memory for two A10 GPUs
  • Issue#125QiueY5142023-10-09 01:13
    AttributeError: object has no attribute 'devices'

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 315 stars here means stars gained during the window, not the repo's star count.