InternEvo is an open-sourced lightweight training framework aims to support model pre-training without the need for extensive dependencies.
active 2024-01-15 → 2025-12-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 709 days from 2024-01-15 to 2025-12-23. Pushes: 920 total, peak 23 in a day. Pull requests: 655 total, peak 18 in a day. Issues: 132 total, peak 8 in a day. Comments: 498 total, peak 31 in a day. Stars: 390 total, peak 22 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
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| sunpengsdu | 735 | 181 | 188 | 93 |
| zigzagcai | 465 | 367 | 56 | 34 |
| huangting4201 | 398 | 90 | 93 | 90 |
| sallyjunjun | 308 | 209 | 45 | 28 |
| mwiacx | 115 | 0 | 15 | 48 |
| li126com | 113 | 11 | 66 | 21 |
| SolenoidWGT | 113 | 2 | 36 | 36 |
| gaoyang07 | 100 | 16 | 20 | 23 |
| yingtongxiong | 72 | 0 | 16 | 26 |
| blankde | 66 | 3 | 33 | 16 |
| KimmiShi | 53 | 37 | 6 | 7 |
| github-actions[bot] | 43 | 0 | 7 | 30 |
| kkscilife | 42 | 0 | 12 | 8 |
| JiaoPL | 29 | 1 | 10 | 10 |
| Cerberous | 19 | 0 | 0 | 9 |
| zhhsplendid | 13 | 0 | 5 | 4 |
| POI-WX | 8 | 0 | 2 | 3 |
| xinhao-luo | 6 | 0 | 6 | 0 |
| x54-729 | 6 | 0 | 6 | 0 |
| lucasleesw | 5 | 0 | 5 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#439SweetStanleyL2025-12-23 11:44
- Pull request#437blankde2025-08-21 02:33
- Pull request#436li126com2025-06-11 13:42
- Pull request#433lucasleesw2025-06-11 07:24
- Pull request#435blankde2025-05-29 10:48
- Pull request#435JiaoPL2025-05-29 08:58
- Pull request#433lucasleesw2025-05-23 14:18
- Pull request#430blankde2025-05-22 07:26
- Pull request#432li126com2025-05-21 09:58
- Pull request#431li126com2025-05-21 09:57
- Pull request#432JiaoPL2025-05-21 09:31
- Pull request#431lucasleesw2025-05-21 08:49
- Pull request#423blankde2025-05-21 06:28
- Pull request#428li126com2025-05-16 03:55
- Pull request#429zigzagcai2025-05-15 09:38
- Pull request#428lucasleesw2025-05-15 09:03
- Pull request#427li126com2025-05-15 02:43
- Pull request#427lucasleesw2025-05-14 10:58
- Pull request#414zigzagcai2025-05-14 07:39
- Issue#426lynshwoo20222025-04-29 06:40[Feature] 该怎么在VLM训练里也用这个框架？有示例吗
- Pull request#425SweetStanleyL2025-04-16 08:10
- Pull request#423li126com2025-03-15 15:24
- Pull request#421sunpengsdu2025-03-14 06:23
- Pull request#422sunpengsdu2025-03-14 02:01
- Pull request#420sunpengsdu2025-03-13 02:28
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 390 stars here means stars gained during the window, not the repo's star count.