- DEFAULT_RANK = 64 in train_router.py
- All references use the constant, not magic numbers
- ~2.5GB optimizer state instead of ~10GB
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
- Convert to installable package with entry points for vLLM auto-discovery
- Add checkpoint_sync.py: Python replacement for Rust checkpoint binary
- Block-level diffing of safetensors files (4KB blocks)
- vLLM→HF weight name conversion built-in
- Scheduled 10min after training jobs (batched)
- API change: /train now takes raw token IDs (context_ids + continuation_ids)
- No tokenizer on training side, client owns tokenization
- Remove superseded code: standalone scripts, Rust binary, tokenizer helpers
Install: pip install -e ./training
Then vLLM auto-loads via entry point.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
