Kent Overstreet a73bcf5ae3 training: restructure as vLLM plugin package ... - 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takes raw token IDs (context_ids + continuation_ids) - No tokenizer on training side, client owns tokenization - Remove superseded code: standalone scripts, Rust binary, tokenizer helpers Install: pip install -e ./training Then vLLM auto-loads via entry point.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>		2026-04-15 23:16:53 -04:00
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apollo_plugin	training: restructure as vLLM plugin package	2026-04-15 23:16:53 -04:00
research	research: latent reasoning integration plans for Qwen 3.5 27B	2026-04-12 15:50:09 -04:00
DESIGN.md	DESIGN.md: complete rewrite reflecting validated architecture	2026-03-31 00:42:53 -04:00
pyproject.toml	training: restructure as vLLM plugin package	2026-04-15 23:16:53 -04:00