Kent Overstreet 039473d31f training: persist Apollo optimizer state across /train calls ... Optimizer state (momentum, variance estimates) now persists between training sessions: - Saved to /tmp/apollo_optimizer_state.pt during checkpoint sync - Restored on next /train call if available - Preserves training continuity for incremental learning Previously each /train call started with fresh optimizer state, losing accumulated gradient history. Co-Authored-By: Proof of Concept <poc@bcachefs.org>		2026-04-16 02:04:26 -04:00
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__init__.py	training: integrate /train into vLLM process (no separate daemon)	2026-04-16 02:04:26 -04:00
checkpoint_sync.py	training: restructure as vLLM plugin package	2026-04-15 23:16:53 -04:00
export_hook.py	training: integrate /train into vLLM process (no separate daemon)	2026-04-16 02:04:26 -04:00
optimizer.py	training: restructure as vLLM plugin package	2026-04-15 23:16:53 -04:00
steering.py	training: restructure as vLLM plugin package	2026-04-15 23:16:53 -04:00
train_router.py	training: persist Apollo optimizer state across /train calls	2026-04-16 02:04:26 -04:00
weight_mapping.py	training: restructure as vLLM plugin package	2026-04-15 23:16:53 -04:00