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> |
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| .. | ||
| checkpoint | ||
| research | ||
| apollo_mini.py | ||
| apollo_worker.py | ||
| DESIGN.md | ||
| export_weights.py | ||
| extract_steering_vector.py | ||
| first_training_step.py | ||
| start_vllm_with_apollo.sh | ||
| train.py | ||
| training_example.py | ||
| vllm_export_hook.py | ||
| weight_mapping.py | ||