trying to customize Gemma
active 2024-02-21 → 2026-07-07 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 868 days from 2024-02-21 to 2026-07-07. Pushes: 36 total, peak 4 in a day. Pull requests: 65 total, peak 8 in a day. Issues: 85 total, peak 8 in a day. Comments: 219 total, peak 25 in a day. Stars: 5,352 total, peak 1,007 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 |
|---|---|---|---|---|
| pengchongjin | 101 | 23 | 16 | 55 |
| Gopi-Uppari | 52 | 0 | 0 | 38 |
| michaelmoynihan | 28 | 10 | 8 | 4 |
| google-cla[bot] | 14 | 0 | 0 | 14 |
| KaneGreen | 10 | 0 | 2 | 7 |
| Balakrishna-Chennamsetti | 8 | 0 | 0 | 8 |
| r-gheda | 6 | 0 | 5 | 1 |
| paruby | 5 | 0 | 3 | 2 |
| vupjing | 5 | 0 | 0 | 3 |
| yongzhuo | 5 | 0 | 0 | 3 |
| MayankChaturvedi | 5 | 3 | 0 | 1 |
| dhchenx | 5 | 0 | 0 | 4 |
| joselpart | 4 | 0 | 1 | 1 |
| runningabcd | 4 | 0 | 0 | 3 |
| Andrei-Aksionov | 4 | 0 | 0 | 2 |
| dsanmart | 4 | 0 | 0 | 1 |
| SedrickWang | 4 | 0 | 0 | 4 |
| thebraingen | 4 | 0 | 4 | 0 |
| Mon-ius | 4 | 0 | 1 | 3 |
| rexionmars | 4 | 0 | 0 | 2 |
Recent activity
Latest issues, pull requests and releases
- Issue#100contrebande-labs2026-04-09 03:34Support for Gemma 4?
- Issue#99impacterai2026-04-03 10:51Add Repurpose AI — AI content repurposing tool
- Issue#98Alpha-Guardian2026-03-18 06:47Showcase / question: a board-proven offline language runtime on ESP32-C3, and whether some lightweight language capability may eventually crystallize beyond dense models
- Issue comment#92srikantak-2212026-01-19 06:10Availability and support for Gemma3 270M models
- Pull request#96PeachesPetStore2026-01-09 20:25
- Pull request#95paper-turtle2025-12-31 04:55
- Issue comment#94google-cla[bot]2025-11-29 01:42Shirly Carr1
- Pull request#94PeachesPetStore2025-11-29 01:42
- Issue comment#93PeachesPetStore2025-11-28 15:08Add Master Interactive Agent (iAgent) for Gemma models
- Issue comment#90Balakrishna-Chennamsetti2025-10-23 05:06Refactor: Improve model classes and remove redundant parameters in gemma/model.py
- Issue comment#88Balakrishna-Chennamsetti2025-10-23 05:03Bug: scripts/run_multimodal.py hangs in non-interactive environments like Docker
- Pull request#91CodersAcademy0062025-10-18 08:12
- Pull request#89CodersAcademy0062025-10-18 07:38
- Issue comment#87Balakrishna-Chennamsetti2025-10-07 05:19Can we support multi GPUs when doing inference?
- Issue#87sparkFeiYang2025-10-01 23:42Can we support multi GPUs when doing inference?
- Issue comment#78pereiramm-ai2025-09-15 14:51No pytorch versions of gemma 3 models on HF
- Issue comment#86Balakrishna-Chennamsetti2025-08-18 05:38Ideas for gemma "4"
- Issue#860wwafa2025-08-15 21:27Ideas for gemma "4"
- Issue comment#74Balakrishna-Chennamsetti2025-07-30 05:31Question about Rotary Embedding Sequence in Model Code vs. Diagrams
- Issue comment#85Balakrishna-Chennamsetti2025-07-23 08:09Pretraining?
- Issue comment#82Balakrishna-Chennamsetti2025-07-23 05:04Where can one find gemma-3 quantized weights?
- Issue#85dustinwloring19882025-07-14 14:00Pretraining?
- Issue comment#84MayankChaturvedi2025-06-23 04:55Native support for pre-computed image embeddings
- Issue comment#84Balakrishna-Chennamsetti2025-06-23 04:41Native support for pre-computed image embeddings
- Issue comment#82Balakrishna-Chennamsetti2025-06-11 05:04Where can one find gemma-3 quantized weights?
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5,352 stars here means stars gained during the window, not the repo's star count.