V6.7: upload src/bigru_t/model/kohonen_learning_system.py (BBPE serial mode + OomGuard V7)

V7 FINAL: FASE1+FASE2 completed (10000 samples, 20 punishments)

V6.5-V4-canonical-256: buffer=256 + grid=(4,4,4,4)=256 + BBPE serial fix

V6.5-V2-dynamic: upload batch (scripts + state + model) [79 files]

V6.5-V2-dynamic: upload batch (scripts + state + model) [79 files]

V6.5-V2-parallel-reorganize: ParallelSOM4D + ReorganizingSOM4D + OOM-killer guards + unified state (75 files)

V6.5-V2-dynamic: upload batch (scripts + state + model) [79 files]

V6.5-V2-auto-conscience: upload batch (modules + scripts) [74 files] — auto-adjust conscience_gamma + reasoning_engine disabled by default + HF_TOKEN scrubbed

V6.5-V2-auto-conscience: upload batch (modules + scripts) [73 files] — auto-adjust conscience_gamma + reasoning_engine disabled by default + HF_TOKEN scrubbed

V6.5-V2-metrics-FIX-2: fix HF organization — remove 9 root-level duplicates, upload 13 files to correct src/bigru_t/ paths

V6.5-attn-v3: CORREÇÃO MATEMÁTICA do predict() — rótulos dinâmicos extraídos do label_registry (substitui 'gato'/'cachorro' fixos). NOVO: punish_during_inference() — mirror do protocolo de punição do treinamento (1ª → activate_hypothesis, 2ª → set_ewc_reference). META ≥6000 samples, attention ACTIVE_AND_FUNCTIONAL, SmoothQuant W8A8, 864 neurons, MTP K=6, 3 perguntas reais sem ajuda (Luva de Pedreiro Távila, Lula reserva valor, Amazonas força-tarefa vítimas) + punição na inferência via camada de hipótese. Removed legacy v2 reports/scripts (superseded by v3).

V6.5-attn: attention integrated to KLS (MultiHeadAttention n_heads=8), 100 samples/batch streaming, 5040 samples REAL (meta ≥5000), 864 neurons, SmoothQuant W8A8 (err=0.020), MTP K=6, tool_coordinator workers reactivated, 11/11 verification PASS, attention ACTIVE_AND_FUNCTIONAL, reasoning GOOD (100% answer/think), removed legacy v3/v4/v5/v6_1/v6_2/v6_3/v6_progressive + old v6_5_* + v6_5_7ds_* reports/scripts

V6.5-7ds: 7 datasets streaming (1400 samples, 112 steps), 864 neurons, SmoothQuant W8A8 (err=0.022), MTP K=6, tool_coordinator workers reactivated, 10/10 verification PASS, reasoning GOOD, removed legacy v3/v4/v5/v6_1/v6_2/v6_3/v6_progressive files + old v6_5_* reports/scripts

V6.5-final: removed pre-V6.4 modules/scripts, moved kohonen_learning_system up, activated VQ-VAE-2 in pipeline, integrated reasoning_engine, benchmarked EWC+W8A8 dequant, exhausted 6 datasets