# ARCHON Inference Turbo

12 modules pour faire jouer ARCHON 282M comme un 7B+ à l'inférence.

Plan complet: `../docs/ARCHON_INFERENCE_TURBO_PLAN.md`

## Modules Phase A (drop-in, déployables immédiat post-SFT v2)

- `m7_dola.py` — Contrastive decoding entre layer L6 et L18
- `m9_xgrammar.py` — Wrapper logit processor structured output
- `m11_react_tools.py` — ReAct loop + 70 tools registry (port NEXUS)
- `m6_snapkv.py` — KV cache compression prefill phase

## Modules Phase B (engine v1, instance GPU requise)

- `m1_mtp_self_spec.py` — MTP-5 self-speculative decoding
- `m10_nvfp4_quant.py` — NVFP4 PTQ Blackwell
- `m8_graphrag.py` — HippoRAG2 federated retrieval
- `m5_prm_bestof_n.py` — PRM 50M + best-of-N

## Modules Phase C (training requis)

- `m2_extended_thinking.py` — Thinking budget loop
- `m3_coconut.py` — Latent continuous thought
- `m12_ttt_e2e.py` — Test-time training LoRA

## Module Phase D (architecture mod)

- `m4_mor.py` — Mixture of Recursions router

## Engine

- `engine.py` — Chaîne complète orchestrée
- `bench.py` — Benchmark vs Qwen2.5-7B, Phi-4, Llama 3.1 8B

## Status code

Phase A skeletons codés 2026-06-05. Reste à brancher sur ARCHON loaded model post-SFT v2 finish.