V6.5-V2-dynamic: upload batch (scripts + state + model) [80 files]

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

V7: dpo.py + data_augmentation.py + oom_guard.py aprimorados

V6.5-V2-metrics-FIX: cleanup batch — remove .pt files + duplicate root-level modules + obsolete modules (17 files)

Delete src/bigru_t/training/elastic_weight_consolidation.py

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

V6.1: PGVector-like lookup + EWC math upgrade + 5 datasets x 10 samples

V6: Kohonen 4D SOM + EWC per-neuron + MTP+entropy + Xeon V6

V6: KohonenSOM4D 4D em orq_cell (8 BiGRU × 4 sem × 4x4 grid = 512 protótipos) + WindowContext 2M (ToMe + KNN IVF) + MTP (K=4) + MTPAdaptiveAttention + DynamicRepetitionPenalty + ElasticWeightConsolidation + data_augmentation + RLHF Possibility Mapping (Φ = Θ + η·r·σ(trust·τ_T)·Σwᵢgᵢ) + ReasoningEngine 8-fase + Tools (cache + mutation + agent) + optimized_pipeline + langchain_adapter

V5: W8A8 aprimorado (α aprendível via STE) + bug fix apply_w8a8_to_model + 4 hiperparâmetros auto-ajustáveis (T, τ, λ_ent, init_gate) + OOM-Killer fixes + num_layers_hyp=8 fixo

V3.2: corrigir 6 bugs + meta_T_moved (T_tracking_loss) + re-teste com Xeon IPEX 2.8 + AMX

V3.2: corrigir 6 bugs + meta_T_moved (T_tracking_loss) + re-teste com Xeon IPEX 2.8 + AMX

V2: 12.97M params, HW optimizer, parallel BBPE, DPO, reasoning, inference, 10 bugs fixed

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