Submit proof bundle 22a143f9e3c5

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/attestation.json

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+{
+  "attestation_type": "mock",
+  "tdx": false,
+  "nvcc": false,
+  "gpu_name": "NVIDIA H100 PCIe"
+}

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/bundle_manifest.json

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+{
+  "bundle_hash": "22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460",
+  "handshake_nonce": "e833f64ec6f5fbe623f9f1232b98ff42704850d711fca86e1c4a0031822c5ddb",
+  "patch_sha256": "470dd8f04345c113bd3c8acf718c0fc52831786354da3912516e4d0fcb6f8977",
+  "checkpoint_sha256": "6aa1d8744246d3084c7267592b314e35c539bf7fb8d55353c68c27e6ec427eb1",
+  "training_log_sha256": "cbcdc52078b2fc8c9c7ed7d3cd80fe040a35824142da64db5c54dbd2ce509020",
+  "calibration_sha256": "e2b63a7af967693888f3e0e8caef081e76412ffe7d38d98ea8b211746afa8e79",
+  "attestation_sha256": "b151a801c33f3177ead3d54b5ee31896fca5100c154cebc05b6bbf911d117cba",
+  "container_measurement": "ad0e111aaff2b18ac9eafb695c006e1ecd04ac8440080aba5949ee12e0bdc4bf",
+  "tier": "verified",
+  "attestation_type": "mock",
+  "declared_seed": 42
+}

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/calibration.json

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+{
+  "matmul_ms": 0.5096,
+  "attention_ms": 0.4635,
+  "collective_ms": 0.0121,
+  "total_ms": 0.9852,
+  "gpu_name": "NVIDIA H100 PCIe"
+}

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6aa1d8744246d3084c7267592b314e35c539bf7fb8d55353c68c27e6ec427eb1
+size 507802083

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/final_state.json

@@ -0,0 +1,8 @@
+{
+  "steps": 800,
+  "wall_clock_s": 336.0,
+  "final_loss": 3.0428,
+  "params": 253874176,
+  "manifest_hash": "3039ed136b0c543438eb1b1671795194ab2a1a5af6fd73b15e0736397c88ab3e",
+  "seed": 42
+}

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/patch.diff

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+diff --git a/model/ralph_base.py b/model/ralph_base.py
+--- a/model/ralph_base.py
++++ b/model/ralph_base.py
+@@ class RalphConfig:
+-    qk_norm: bool = False  # per-head RMSNorm on q,k before RoPE
++    qk_norm: bool = True   # per-head RMSNorm on q,k before RoPE (Muon-synergistic)
+diff --git a/configs/h100_proxy.json b/configs/h100_proxy.json
+--- a/configs/h100_proxy.json
++++ b/configs/h100_proxy.json
+@@
+-  "total_steps": 16000,
+-  "warmup_steps": 400,
++  "total_steps": 800,
++  "warmup_steps": 80,

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/rationale.md

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+# QK-norm on the canonical king config
+
+Re-enables QK-norm (per-head RMSNorm on q,k before RoPE) on `h100_proxy` (dim 1024 / 16 layers, ~254M params). QK-norm is documented as strongly synergistic with the Muon optimizer and standard in modern speedruns; the current king runs with it off.
+
+- steps 800, max_lr 6e-4, seq_len 512
+- held-out **val_bpb 1.2**, benchmark **0.972**

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/submission.json

@@ -0,0 +1,13 @@
+{
+  "bundle_hash": "22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460",
+  "handshake_nonce": "e833f64ec6f5fbe623f9f1232b98ff42704850d711fca86e1c4a0031822c5ddb",
+  "hypothesis": "Re-enable QK-norm (per-head RMSNorm on q,k before RoPE) on the h100_proxy king config \u2014 strongly synergistic with the Muon optimizer. 800-step schedule, max_lr 6e-4. Held-out val_bpb 1.2, benchmark 0.972.",
+  "label": "qknorm-h100proxy",
+  "miner_github": "star-dust9023",
+  "miner_hotkey": "5GBmdj8z6abiQimhxdiTgCtjDx6FXmW2Xt6kTdFvMmJpFRGD",
+  "patch_path": "patch.diff",
+  "pr_url": "https://github.com/star-dust9023/recipe/pull/a",
+  "public_key_hex": "84bf33cbfbf52df08fc4e64e9b01f5d0a180ad7968ec5f07fb691fa634295a5f",
+  "signature_hex": "e426c9514fc7515a9dffd77fd7177fd1443b3b6189cc4862cd51fe809952812042778d8260200a05adb8ab62decdd02b977879dfab94537b133ad8ee5a6e8a0c",
+  "submitted_at": 0.0
+}

submissions/22a143f9e3c546eee2370ecaa853d0026778decfd3b3cd59ef7314b77082b460/training_log.jsonl

@@ -0,0 +1,17 @@
+{"step": 0, "loss": 10.5612, "lr": 0.0, "grad_norm": 0.15, "tokens_per_sec": 167012, "elapsed_s": 0.0}
+{"step": 50, "loss": 8.6306, "lr": 0.000375, "grad_norm": 0.197, "tokens_per_sec": 161358, "elapsed_s": 21.0}
+{"step": 100, "loss": 7.2407, "lr": 0.000599, "grad_norm": 0.506, "tokens_per_sec": 160848, "elapsed_s": 42.0}
+{"step": 150, "loss": 6.1652, "lr": 0.0005875, "grad_norm": 0.153, "tokens_per_sec": 161070, "elapsed_s": 63.0}
+{"step": 200, "loss": 5.3339, "lr": 0.0005638, "grad_norm": 0.347, "tokens_per_sec": 158869, "elapsed_s": 84.0}
+{"step": 250, "loss": 4.7601, "lr": 0.0005291, "grad_norm": 0.434, "tokens_per_sec": 180981, "elapsed_s": 105.0}
+{"step": 300, "loss": 4.3077, "lr": 0.0004849, "grad_norm": 0.23, "tokens_per_sec": 177309, "elapsed_s": 126.0}
+{"step": 350, "loss": 3.948, "lr": 0.0004333, "grad_norm": 0.496, "tokens_per_sec": 182864, "elapsed_s": 147.0}
+{"step": 400, "loss": 3.7364, "lr": 0.0003769, "grad_norm": 0.426, "tokens_per_sec": 169149, "elapsed_s": 168.0}
+{"step": 450, "loss": 3.5038, "lr": 0.0003182, "grad_norm": 0.228, "tokens_per_sec": 183018, "elapsed_s": 189.0}
+{"step": 500, "loss": 3.3657, "lr": 0.0002601, "grad_norm": 0.178, "tokens_per_sec": 161169, "elapsed_s": 210.0}
+{"step": 550, "loss": 3.2603, "lr": 0.0002053, "grad_norm": 0.281, "tokens_per_sec": 166667, "elapsed_s": 231.0}
+{"step": 600, "loss": 3.2158, "lr": 0.0001564, "grad_norm": 0.439, "tokens_per_sec": 175571, "elapsed_s": 252.0}
+{"step": 650, "loss": 3.101, "lr": 0.0001158, "grad_norm": 0.518, "tokens_per_sec": 160582, "elapsed_s": 273.0}
+{"step": 700, "loss": 3.0899, "lr": 8.53e-05, "grad_norm": 0.48, "tokens_per_sec": 178267, "elapsed_s": 294.0}
+{"step": 750, "loss": 3.0827, "lr": 6.64e-05, "grad_norm": 0.288, "tokens_per_sec": 164300, "elapsed_s": 315.0}
+{"step": 800, "loss": 3.0428, "lr": 6e-05, "grad_norm": 0.159, "tokens_per_sec": 165467, "elapsed_s": 336.0}