consciousness/training
ProofOfConcept d7a0fccdcc first_training_step.py: ready for Kent to run
Real training example from March 30 (listening reflex). Context-frozen
forward+backward with Apollo rank-256. Supports --dry-run to test
without modifying weights. Verifies vLLM still works after update.

The button is ready. Kent pushes it.
2026-03-31 01:59:52 -04:00
..
checkpoint checkpoint: sync live weights back into model safetensors in-place 2026-03-30 22:55:23 -04:00
research research: GDN gradient flow — disposition architecture in linear attention 2026-03-31 01:58:50 -04:00
apollo_mini.py apollo: rewrite optimizer from paper's math + add research analysis 2026-03-31 00:54:17 -04:00
apollo_worker.py apollo: make rank configurable (default 1 = Mini, higher ranks for experimentation) 2026-03-30 22:06:31 -04:00
DESIGN.md DESIGN.md: complete rewrite reflecting validated architecture 2026-03-31 00:42:53 -04:00
export_weights.py apollo-mini training system: initial implementation 2026-03-30 22:02:37 -04:00
first_training_step.py first_training_step.py: ready for Kent to run 2026-03-31 01:59:52 -04:00
start_vllm_with_apollo.sh vllm launcher with apollo hook 2026-03-30 22:24:02 -04:00
train.py apollo-mini training system: initial implementation 2026-03-30 22:02:37 -04:00
training_example.py apollo-mini training system: initial implementation 2026-03-30 22:02:37 -04:00
vllm_export_hook.py apollo-checkpoint: efficient diff-based GPU weight checkpointing 2026-03-30 22:53:17 -04:00
weight_mapping.py weight_mapping: strip language_model prefix to match HF text model names 2026-03-30 23:11:03 -04:00