awesome-llama: https://github.com/b4rtaz/distributed-llama
distributed-computing distributed-llm llama2 llama3 llm llm-inference llms neural-network open-llm
Score: 10.567308903714244
Last synced: about 19 hours ago
JSON representation
Repository metadata:
Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
- Host: GitHub
- URL: https://github.com/b4rtaz/distributed-llama
- Owner: b4rtaz
- License: mit
- Created: 2023-12-04T23:36:06.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2026-04-14T19:51:00.000Z (2 months ago)
- Last Synced: 2026-05-30T10:04:47.110Z (20 days ago)
- Topics: distributed-computing, distributed-llm, llama2, llama3, llm, llm-inference, llms, neural-network, open-llm
- Language: C++
- Homepage:
- Size: 3.59 MB
- Stars: 2,941
- Watchers: 50
- Forks: 233
- Open Issues: 47
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: Bart Tadych
- Login: b4rtaz
- Email:
- Kind: user
- Description:
- Website: https://n4no.com/
- Location: 127.0.0.1
- Twitter: b4rtaz
- Company:
- Icon url: https://avatars.githubusercontent.com/u/12797776?u=cce373d61aed27ecdf46e8b0b6982b366a872b5c&v=4
- Repositories: 32
- Last Synced at: 2026-05-01T06:35:09.658Z
- Profile URL: https://github.com/b4rtaz
GitHub Events
Total
- Create event: 62
- Delete event: 6
- Fork event: 81
- Issue comment event: 177
- Issues event: 95
- Pull request event: 82
- Pull request review comment event: 1
- Pull request review event: 1
- Push event: 331
- Release event: 28
- Watch event: 1000
- Total: 1864
Last Year
- Create event: 55
- Delete event: 6
- Fork event: 69
- Issue comment event: 155
- Issues event: 79
- Pull request event: 73
- Pull request review comment event: 1
- Pull request review event: 1
- Push event: 285
- Release event: 24
- Watch event: 864
- Total: 1612
Committers metadata
Last synced: 3 months ago
Total Commits: 409
Total Committers: 13
Avg Commits per committer: 31.462
Development Distribution Score (DDS): 0.068
Commits in past year: 81
Committers in past year: 7
Avg Commits per committer in past year: 11.571
Development Distribution Score (DDS) in past year: 0.123
| Name | Commits | |
|---|---|---|
| b4rtaz | b****z@g****m | 381 |
| Wouter Tichelaar | t****w@s****t | 10 |
| Coleman | o****n@g****m | 5 |
| Wouter | 9****t | 2 |
| lemmi | l****i@n****g | 2 |
| Jeff Keegan | j****n@k****g | 2 |
| erhant | e****6@g****m | 1 |
| Juan Carlos Ramirez | j****r@p****m | 1 |
| Jianwei Mao | m****6@1****m | 1 |
| Guillem | i****s@g****v | 1 |
| Copilot | 1****t | 1 |
| Brett Profitt | b****t@g****m | 1 |
| Antoine Sachet | 1****c | 1 |
Issue and Pull Request metadata
Last synced: 7 months ago
Total issues: 118
Total pull requests: 172
Average time to close issues: about 1 month
Average time to close pull requests: 4 days
Total issue authors: 74
Total pull request authors: 14
Average comments per issue: 2.47
Average comments per pull request: 0.99
Merged pull request: 130
Bot issues: 0
Bot pull requests: 0
Past year issues: 58
Past year pull requests: 73
Past year average time to close issues: 16 days
Past year average time to close pull requests: 1 day
Past year issue authors: 39
Past year pull request authors: 9
Past year average comments per issue: 1.74
Past year average comments per pull request: 0.9
Past year merged pull request: 54
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- unclemusclez (9)
- lemmi (5)
- zhengpeirong (4)
- DifferentialityDevelopment (4)
- EntusiastaIApy (4)
- D-i-t-gh (3)
- omegacoleman (3)
- segabor (3)
- zhangddjs (3)
- jkeegan (3)
- greytery (3)
- MichaelFomenko (3)
- bartekmalysz94us (2)
- antoine-sac (2)
- testing0mon21 (2)
Top Pull Request Authors
- b4rtaz (125)
- DifferentialityDevelopment (10)
- omegacoleman (10)
- enigodupont (4)
- lemmi (4)
- jkeegan (4)
- VIS-WA (2)
- myan-o (2)
- weedge (2)
- fromthefox (2)
- eltociear (2)
- antoine-sac (2)
- brettp (2)
- Copilot (1)
Top Issue Labels
Top Pull Request Labels
Dependencies
- actions/checkout v3 composite
- numpy ==1.23.5
- torch ==2.0.1