7e7e9a4b69
Remove standalone worker.py daemon. Training now runs inside vLLM: - train_router.py: FastAPI router patched into vLLM's build_app() - /train served on same port as /completions, /score - Lazy-loads HF model with vLLM weight views on first request - HOGWILD training: no pause, weights updated in-place The previous architecture had a separate daemon on port 8080 that communicated with vLLM via pause/resume endpoints. This was wrong - training should run in-process, sharing GPU memory directly. Co-Authored-By: Proof of Concept <poc@bcachefs.org> |
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| apollo_plugin | ||
| research | ||
| DESIGN.md | ||
| pyproject.toml | ||