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active 2025-06-092026-02-03 (UTC)

Partial coverage11,415 / 12,324 hourly files (93%) · 2 absent upstream · 906 failed, retryable2025-03-152026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
214
Pushes
34
Pull requests
0
Issues
12
Stars
132
Forks
14

Activity over time

Daily event counts in the loaded window

Line chart, 240 days from 2025-06-09 to 2026-02-03. Pushes: 34 total, peak 11 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 2 in a day. Comments: 15 total, peak 4 in a day. Stars: 132 total, peak 9 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

ContributorContributionsPushesPRsComments
anhvth423404
Hongyuan-Liu3001
james007blond3002
ai-bond2002
songtang2092001
devianl21000
etemiz1000
Hoiy1000
ptkhai12031001
wangxiaodong10211000
gopikrishna2251001
joshuakelleyds1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#15gopikrishna2252025-11-16 15:24
    TypeError: stat: path should be string, bytes, os.PathLike or integer, not NoneType _inner_training_loop and os.path.exists(self.args.resume_from_checkpoint)
  • Issue#21wangxiaodong10212025-10-01 16:44
    Distributed Training Crash: torchrun DDP SIGSEGV with Multi-GPU and Unsloth Patch
  • Issue#19songtang2092025-08-31 08:19
    How to train VLM model like Qwen2.5 VL?
  • Issue comment#11songtang2092025-08-30 13:23
    Does this support training vision language models?
  • Issue#18etemiz2025-08-18 15:05
    Fine Tune Qwen3 235B
  • Issue#4anhvth2025-08-08 04:29
    How to set up resuming training from a checkpoint
  • Issue comment#16ai-bond2025-07-30 16:07
    Add IPv6 auto(enable|disable) to set NCCL use propper AF_*
  • Issue comment#16ai-bond2025-07-30 16:03
    Add IPv6 auto(enable|disable) to set NCCL use propper AF_*
  • Issue#14james007blond2025-07-29 15:38
    Unable run train if in system was disabled IPV6 thru kernel params.
  • Issue comment#11Larry-Gan2025-07-19 17:05
    Does this support training vision language models?
  • Issue comment#11Larry-Gan2025-07-19 06:19
    Does this support training vision language models?
  • Issue#13devianl22025-07-18 08:39
    How To Display Eval/Loss Diagram in WanDB?
  • Issue comment#9Hongyuan-Liu2025-07-01 08:12
    SyntaxError: positional argument follows keyword argument
  • Issue comment#6james007blond2025-07-01 07:28
    run local notebook train
  • Issue comment#6ptkhai12032025-07-01 06:40
    run local notebook train
  • Issue comment#9anhvth2025-07-01 03:01
    SyntaxError: positional argument follows keyword argument
  • Issue#9Hongyuan-Liu2025-07-01 01:15
    SyntaxError: positional argument follows keyword argument
  • Issue comment#6james007blond2025-06-30 06:37
    run local notebook train
  • Issue#8anhvth2025-06-26 02:05
    加载模型的时候怎么多卡加载呢
  • Issue comment#4anhvth2025-06-21 13:50
    How to set up resuming training from a checkpoint
  • Issue comment#4anhvth2025-06-21 13:47
    How to set up resuming training from a checkpoint
  • Issue#5anhvth2025-06-21 13:17
    Unable to run the Kaggle Notebook (T4x2) Example
  • Issue#5Hoiy2025-06-20 20:40
    Unable to run the Kaggle Notebook (T4x2) Example
  • Issue comment#4joshuakelleyds2025-06-20 20:36
    How to set up resuming training from a checkpoint
  • Issue#4Hongyuan-Liu2025-06-20 07:39
    How to set up resuming training from a checkpoint

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 132 stars here means stars gained during the window, not the repo's star count.