consciousness/training
Kent Overstreet f06c8077e1 research: latent reasoning integration plans for Qwen 3.5 27B
Two research documents:

latent-reasoning-integration-plan.md: Synthesizes 10+ papers on
latent reasoning, identifies which approaches work with finetuning
(vs requiring pretraining from scratch), and maps them to our
APOLLO-Mini training pipeline.

pause-tokens-gdn-recurrence.md: Explores the connection between
token-based latent reasoning and GDN's internal recurrence. Key
insight: pause tokens on Qwen 3.5 trigger both forward passes AND
recurrent state updates, giving double benefit.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>
2026-04-12 15:50:09 -04:00
..
checkpoint Trim unused deps 2026-04-05 06:06:38 -04:00
research research: latent reasoning integration plans for Qwen 3.5 27B 2026-04-12 15:50:09 -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
extract_steering_vector.py steering vector extraction script — answering Q5 experimentally 2026-03-31 02:28:18 -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