GGML implementation of BERT model with Python bindings and quantization.
active 2024-01-23 → 2024-05-11 (UTC)
Partial coverage18,338 / 23,484 hourly files (78%) · 2 absent upstream · 5,144 failed, retryable2023-12-08 → 2026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
119
Pushes
33
Pull requests
9
Issues
7
Stars
40
Forks
2
Activity over time
Daily event counts in the loaded window
Line chart, 110 days from 2024-01-23 to 2024-05-11. Pushes: 33 total, peak 9 in a day. Pull requests: 9 total, peak 6 in a day. Issues: 7 total, peak 2 in a day. Comments: 28 total, peak 5 in a day. Stars: 40 total, peak 21 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| iamlemec | 54 | 33 | 4 | 17 |
| snowyu | 6 | 0 | 2 | 3 |
| PrithivirajDamodaran | 5 | 0 | 0 | 3 |
| WayneCao | 4 | 0 | 0 | 3 |
| sroussey | 2 | 0 | 2 | 0 |
| regstuff | 2 | 0 | 0 | 1 |
| turbo | 1 | 0 | 0 | 0 |
| sweetcard | 1 | 0 | 0 | 0 |
| ggerganov | 1 | 0 | 1 | 0 |
| Ingvarstep | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#17Ingvarstep2024-05-11 17:30Why llama.cpp runs substantially faster
- Issue comment#17iamlemec2024-05-10 20:49Why llama.cpp runs substantially faster
- Issue comment#17iamlemec2024-05-08 21:08Why llama.cpp runs substantially faster
- Issue comment#16PrithivirajDamodaran2024-03-08 08:28Memory usage and slowness question
- Issue#13PrithivirajDamodaran2024-03-03 13:04BERT MLM Question
- Issue comment#15regstuff2024-03-03 07:37Works great on command line, but unable to use via python
- Issue comment#16PrithivirajDamodaran2024-03-03 04:00Memory usage and slowness question
- Issue comment#15iamlemec2024-03-02 21:23Works great on command line, but unable to use via python
- Issue comment#14iamlemec2024-03-02 21:20Using llama.cpp
- Issue#16PrithivirajDamodaran2024-03-02 17:46Memory usage and slowness question
- Issue#15regstuff2024-03-02 07:51Works great on command line, but unable to use via python
- Issue comment#14PrithivirajDamodaran2024-02-29 05:54Using llama.cpp
- Issue comment#14iamlemec2024-02-28 21:47Using llama.cpp
- Issue comment#11WayneCao2024-02-22 02:05does bert_encode() thread-safe for online embedding?
- Issue comment#11WayneCao2024-02-21 02:42does bert_encode() thread-safe for online embedding?
- Issue comment#11iamlemec2024-02-19 03:39does bert_encode() thread-safe for online embedding?
- Issue comment#10iamlemec2024-02-19 03:34Compilation Error on macOS
- Issue comment#11WayneCao2024-02-18 02:29does bert_encode() thread-safe for online embedding?
- Issue#11WayneCao2024-02-18 02:25does bert_encode() thread-safe for online embedding?
- Issue#10turbo2024-02-16 12:34Compilation Error on macOS
- Issue comment#9snowyu2024-02-07 03:47Add unit tests
- Issue comment#9iamlemec2024-02-06 22:23Add unit tests
- Issue comment#9iamlemec2024-02-06 07:22Add unit tests
- Issue comment#8iamlemec2024-02-06 05:34supports jinaai/jina-embeddings-v2-base-code
- Pull request#9snowyu2024-02-06 02:44
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 40 stars here means stars gained during the window, not the repo's star count.