nx_llm_loopb_gate.nx

nx_llm_loopb_gate.nx -- THE LOOP-B CLOSURE: load OUR sovereignly-trained model (nx_f32_qwen2_train_gate's /tmp/nx_ours_qwen.gguf) via the arch-config NO-FLOAT inference and GENERATE -- proving train (ours, f32 tape) -> gguf-export -> serve (ours, 100pct-integer) end to end. If our integer inference reproduces the sequence the f32 trainer learned ('the quick brown fox...'), the whole sovereign loop is closed: we train a model AND run it, all our own stack, no PyTorch, no CUDA, no float lib on the serve path. Dims come from the gguf metadata (arch-config), so nothing is hardcoded to this specific model. T1 arch-config load reads OUR metadata (qwen2 d=16 layers=2 1-head). T2 all 27 tensors present + loadable by name. T3 GENERATE on the no-float integer forward reproduces the trained corpus (>=30/44 chars) = LOOP-B CLOSED. expect_exit: 0 license_tier: ORIGINAL