Record Submission: Maestro Solar Protocol (1.1194 BPB)

records/track_10min_16mb/2026-03-24_Maestro_SolarProtocol_Joeavaib/README.md

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+# Maestro OS: Solar Protocol (1+7+1 Architecture)
+
+**val_bpb: 1.11937967** (3-seed mean, std 0.0006) | **~15.95 MB** | 8×H100 SXM
+
+## Architecture: Maestro "1+7+1"
+
+This submission introduces the **Maestro OS** framework, utilizing a specialized **1+7+1** layer stack designed for high-efficiency reasoning and validation:
+
+1.  **Reasoning Layer (L1)**: Sharper attention (temp=0.7) and task-mapping with plan vector generation via `MyzelTrajectory` and `MyzelIntuition`.
+2.  **Completion Blocks (L2-L8)**: 7 standard Transformer blocks optimized with `LeakyReLU(0.5)²` and standard temperature.
+3.  **Validation Layer (L9)**: Softer attention (temp=1.3) with confidence detection and `SolarShield` gating for retry rerouting.
+
+### SolarShield Gating
+A reality-locked gating mechanism (`L0/L4`) that dynamically balances residual stream flow:
+```python
+class SolarShield(nn.Module):
+    def forward(self, x, residual):
+        g = torch.sigmoid(self.gate)
+        return x * g + residual * (1.0 - g)
+```
+
+## Key Innovation: LeakyReLU(0.5)²
+
+Replaces standard `relu²` or `SiLU` to maintain gradient flow through the MLP while preserving non-negative inductive bias:
+```python
+x = F.leaky_relu(F.linear(x, up_w), negative_slope=0.5).square()
+```
+
+## Legal TTT Protocol
+
+Backward-looking, score-first TTT following PR #461's framework:
+- **SCORE**: Sliding window eval under `torch.inference_mode()` (stateless).
+- **TRAIN**: SGD(lr=0.002, momentum=0.9) on the already-scored chunk. 3 epochs, all blocks unfrozen.
+- Chunk N is scored by a model adapted only on chunks 0..N-1.
+
+## Training & Optimization
+
+Built on the PR #414 stack with **Parameter Banking + Parallel Muon (PR #399)**:
+- **Optimizer**: Parallel Muon (post-backward reduce-scatter -> local NS5 -> all-gather).
+- **Weight Avg**: EMA(0.997) + Tight SWA (every 50).
+- **Quantization**: GPTQ-lite int6 + LZMA.
+- **BigramHash**: 1536 vocabulary size.
+
+## Run Command
+
+```bash
+NUM_LAYERS=11 BIGRAM_VOCAB_SIZE=1536 XSA_LAST_N=4 \
+EMA_ENABLED=1 EMA_DECAY=0.997 SWA_ENABLED=1 SWA_EVERY=50 \
+ROPE_DIMS=16 LN_SCALE=1 LATE_QAT=1 LATE_QAT_THRESHOLD=0.15 \
+VE_ENABLED=1 VE_DIM=128 VE_LAYERS=9,10 \
+TTT_ENABLED=1 TTT_LR=0.002 TTT_EPOCHS=3 TTT_CHUNK_TOKENS=32768 \
+TTT_FREEZE_BLOCKS=0 TTT_MOMENTUM=0.9 TTT_BATCH_SEQS=32 TTT_GRAD_CLIP=1.0 \
+MUON_WD=0.04 ADAM_WD=0.04 SEED=1337 \
+torchrun --standalone --nproc_per_node=8 train_gpt.py
+```
+
+## Credits
+
+- **Maestro OS Framework**: Joeavaib
+- **LeakyReLU² activation**: PR #493 / PR #518
+- **Optimizer (Parallel Muon)**: PR #399 (@abaybektursun)
+- **TTT recipe**: PR #461 (@Christopher-Lee-McClendon)
+- **Base model**: PR #414 (@signalrush)

records/track_10min_16mb/2026-03-24_Maestro_SolarProtocol_Joeavaib/submission.json

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+{
+  "name": "LeakyReLU² + Legal Score-First TTT + Parallel Muon",
+  "val_loss": 1.89002068,
+  "val_bpb": 1.11937967,
+  "bytes_total": 15990006,
+  "blurb": "LeakyReLU(0.5)² activation (-0.003 BPB vs relu²) + legal score-first TTT (PR #461 recipe, 3ep SGD, all blocks unfrozen) + BigramHash(1536) + Parameter Banking + Parallel Muon (PR #399). Built on PR #414 stack. 3-seed mean: 1.1194 (std 0.0006). All artifacts under 16MB, all eval under 10 min.",
+  "author": "Joeavaib",
+  "email": "josefkafka@outlook.de",
+  "github_id": "Joeavaib",
+  "date": "2026-03-24"
+}