Building powerful models with parameter-efficient fine-tuning.
active 2023-08-16 → 2026-07-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1063 days from 2023-08-16 to 2026-07-13. Pushes: 1,308 total, peak 37 in a day. Pull requests: 199 total, peak 8 in a day. Issues: 33 total, peak 4 in a day. Comments: 252 total, peak 18 in a day. Stars: 76 total, peak 4 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 |
|---|---|---|---|---|
| sordonia | 1.1K | 815 | 105 | 92 |
| shuishen112 | 234 | 196 | 18 | 10 |
| pclucas14 | 215 | 113 | 29 | 43 |
| oleksost | 182 | 121 | 11 | 27 |
| matheper | 128 | 48 | 25 | 23 |
| fverac | 23 | 10 | 3 | 6 |
| SaminYeasar | 21 | 0 | 5 | 13 |
| Copilot | 10 | 4 | 0 | 4 |
| TheTahaaa | 9 | 0 | 0 | 9 |
| kadarsh22 | 8 | 0 | 0 | 4 |
| dependabot[bot] | 6 | 0 | 3 | 3 |
| Weifan1226 | 5 | 0 | 0 | 2 |
| microsoft-github-policy-service[bot] | 4 | 0 | 0 | 4 |
| thuuyen98 | 3 | 0 | 0 | 2 |
| GuanghuiSong | 3 | 0 | 0 | 2 |
| vietanh125 | 3 | 0 | 0 | 1 |
| herkerser | 3 | 0 | 0 | 3 |
| MarcCote | 2 | 0 | 0 | 1 |
| TJL233 | 2 | 0 | 0 | 1 |
| saksham20aggarwal | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Pull request#176dependabot[bot]2026-07-02 07:07
- Issue comment#124pclucas142025-07-18 20:26experts based on Phi 3 model with PEFT library
- Issue comment#124TheTahaaa2025-07-13 11:52experts based on Phi 3 model with PEFT library
- Issue comment#172pclucas142025-06-28 18:49Number of seeds and standard deviation of the zero shot generalization results.
- Issue#157kadarsh222025-06-27 04:34Add Instructions for Running Polytropon in README
- Issue comment#72kadarsh222025-06-17 18:42May I get the trained LoRA lib to reproduce the paper:Modular LLM?
- Issue comment#72shuishen1122025-06-17 15:30May I get the trained LoRA lib to reproduce the paper:Modular LLM?
- Issue comment#72kadarsh222025-06-17 15:14May I get the trained LoRA lib to reproduce the paper:Modular LLM?
- Issue comment#170sordonia2025-06-15 01:33Disentangle merging routines from library transforms
- Issue comment#170sordonia2025-06-11 00:34Disentangle merging routines from library transforms
- Issue comment#170sordonia2025-06-11 00:19Disentangle merging routines from library transforms
- Issue comment#170Copilot2025-06-10 18:30Disentangle merging routines from library transforms
- Issue comment#170sordonia2025-06-10 18:19Disentangle merging routines from library transforms
- Issue comment#170pclucas142025-06-10 15:51Disentangle merging routines from library transforms
- Pull request#171shuishen1122025-06-10 15:45
- Pull request#171shuishen1122025-06-07 18:07
- Issue comment#72shuishen1122025-06-06 15:07May I get the trained LoRA lib to reproduce the paper:Modular LLM?
- Issue comment#170Copilot2025-06-06 13:35Disentangle merging routines from library transforms
- Issue comment#157kadarsh222025-05-29 17:15Add Instructions for Running Polytropon in README
- Pull request#168shuishen1122025-05-23 02:57
- Pull request#168shuishen1122025-05-07 23:49
- Issue comment#157kadarsh222025-04-29 14:05Add Instructions for Running Polytropon in README
- Issue#166kadarsh222025-04-29 14:04Does mttl support functionalities like set_adapters, add_adaptors etc like in PEFT library?
- Pull request#167SaminYeasar2025-04-28 06:47
- Issue comment#166shuishen1122025-04-23 20:47Does mttl support functionalities like set_adapters, add_adaptors etc like in PEFT library?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 76 stars here means stars gained during the window, not the repo's star count.