BRIGHT vs Axolotl
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| Field | B BRIGHT[ESSD 2025 & IEEE DFC 2025 & CVPRW 2026] Bright: A globally distributed multimodal VHR dataset for all-weather disaster response | A AxolotlYAML-driven fine-tuning toolkit for serious training runs. |
|---|---|---|
| Fit. | ||
| Platforms· | Linux | Linux, Docker |
| Docker· | No | Yes |
| Commercial | yes | yes |
| Catalog. | ||
| Category | Fine-tuning | Fine-tuning |
| License | Apache 2.0 | Apache 2.0 |
| Language | Python | Python |
| Jobs· | fine tuning, artificial intelligence, building damage assessment | fine-tune LLM, reproducible training, LoRA training |
| Activity. | ||
| Stars· | 253 | 11k |
| Last commit· | Jul 21, 2026 | Sep 4, 2026 |
| Last release· | — | Aug 10, 2026 |
| Links | ProjectGitHubGuide | ProjectGitHubGuide |