Accelerate Tiny Llama training using quantized int8 operations with the bitsandbytes library. Includes tools for setup, fine-tuning examples on datasets, and performance evaluation metrics. Focused on reducing training time while maintaining inference quality.
active 2024-11-18 → 2024-12-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 37 days from 2024-11-18 to 2024-12-24. Pushes: 18 total, peak 6 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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 |
|---|---|---|---|---|
| LeftGoga | 8 | 6 | 2 | 0 |
| DmitryRedko | 8 | 8 | 0 | 0 |
| ElenaSuhova | 4 | 4 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#1LeftGoga2024-11-26 13:04
- Pull request#1LeftGoga2024-11-26 13:04
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.