{ "schema_version": 2, "as_of": "2026-07-09T09:20:12Z", "network": { "name": "mainnet", "netuid": 40, "label": "Bittensor mainnet · netuid 40", "live": true }, "current_king": { "recipe_tag": "maxmfu-canonical", "miner_hotkey": "5HTERMEJg8W2g6gi8vbmCaM1r6AGxujrji8iaQQLt3qJmnWf", "miner_short": "5HTERMEJ…t3qJmnWf", "miner_github": "star-dust9023", "team_miner": false, "bundle_hash": "6ec294cb748279ac0a2b848e934d3f54f5952d7205ee9a67d6f8ec558f59fd74", "val_bpb": 1.023364, "benchmark_accuracy": 0.197333, "compute_cost_h100h": 4.689332, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-07-07T07:56:39Z", "crowned_block": 8567947, "hypothesis": "254M CANONICAL arch — king recipe (max_lr 0.003, WSD 0.55/0.45 1-sqrt, Muon) + embedding-LR split 0.009, determinism-off + torch.compile max-autotune for throughput. Genuine H200 run, real on-box calibration shipped. val_bpb ~1.025; validator op4 will measure the real number.", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/1561" }, "lineage": [ { "recipe_tag": "v22_full_resub", "miner_hotkey": "5DkeUCZNYrcGneX7wJDUqYxENX7CicSbzFhnbwhpyyDqYok6", "miner_short": "5DkeUCZN…yyDqYok6", "miner_github": "HadesHappy", "team_miner": false, "bundle_hash": "5569f7d8f66acddaab97cef7ed45f6b6fc66ee5088992718267c0a146c58aae1", "val_bpb": 1.059665, "benchmark_accuracy": 0.186, "compute_cost_h100h": 4.815365807621729, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-07-06T01:02:59Z", "crowned_block": 8558680, "hypothesis": "In-place updates vs the pinned base: model/_v4skip.py (untied zero-init head + z-loss; checkpoint key-set identical to current canonical RalphBase), data/dataset.py (epoch-permutation no-replacement sampler), recipe/train.py (WSD stable/1-sqrt, Muon weight decay, embed AdamW, to…", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/1408" }, { "recipe_tag": "crown10k_bb_b1", "miner_hotkey": "5CXEMm6u6onoMpFPbpSqFLdeDzkG68nyTirSg3SVQfiMVhJa", "miner_short": "5CXEMm6u…QfiMVhJa", "miner_github": "danielortega-dev", "team_miner": false, "bundle_hash": "2725a3cab62346ec20022f79e752cd332fd5d8f2a550d06a1e64b2cc35b10033", "val_bpb": 1.086352, "benchmark_accuracy": 0.195333, "compute_cost_h100h": 4.028397190132607, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-07-06T00:15:53Z", "crowned_block": 8557322, "hypothesis": "", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/1271" }, { "recipe_tag": "eff5h-readout-v221", "miner_hotkey": "5CqhtHE7BE8HgZTnCkhc7rWFSx5jzCQSsRYwhZtLfBBtLHkS", "miner_short": "5CqhtHE7…fBBtLHkS", "miner_github": "everettelages", "team_miner": false, "bundle_hash": "09caba0d5964ccc021acfa7561b5eba6b654c01bff0d9dd0068ee32cfa871c43", "val_bpb": 1.301304, "benchmark_accuracy": 0.198, "compute_cost_h100h": 4.028397190132607, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-07-02T03:20:47Z", "crowned_block": 8530602, "hypothesis": "v0.2.21 readout-calibration arch (logit_scale + per-vocab readout_gain/readout_bias) on the 254M config — a genuinely trained 3800-step WSD run. Held-out val_bpb 1.3013, benchmark 0.198.", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/865" }, { "recipe_tag": "run254c", "miner_hotkey": "5HBQzPF5oEQ4nLXsYR3iTQ6mZintZp4xdtQLxgKCJgtEUbUt", "miner_short": "5HBQzPF5…JgtEUbUt", "miner_github": "martyniukr", "team_miner": false, "bundle_hash": "30971aef56998ffe09560ad73bd5208043c2d21c7f114f5b1803d24455ae727e", "val_bpb": 1.31953, "benchmark_accuracy": 0.184, "compute_cost_h100h": 4.337059262283482, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-07-01T22:47:00Z", "crowned_block": 8529235, "hypothesis": "", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/834" }, { "recipe_tag": "lr-h100proxy", "miner_hotkey": "5DXfHZ3hegz4f924QqNwccqL4UuDQQS5GSY2jNj81aR6zPdE", "miner_short": "5DXfHZ3h…1aR6zPdE", "miner_github": "bravoou", "team_miner": false, "bundle_hash": "7fd43cef5ffcb2c7478483ef4408064158ddcd49b5a57287c1b740f57338a1b1", "val_bpb": 1.375551, "benchmark_accuracy": 0.964667, "compute_cost_h100h": 3.42451352183573, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-06-30T02:56:47Z", "crowned_block": 8516093, "hypothesis": "Higher peak LR (max_lr 0.0008, king 6e-4) on the h100_proxy 254M config — a genuinely trained run. Held-out val_bpb 1.3756, benchmark 0.9647.", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/595" }, { "recipe_tag": "batch-h100proxy", "miner_hotkey": "5FCDTbBDka1WxcspxAjRMUeecp3vHnYiM1nenEsKGXysYqGE", "miner_short": "5FCDTbBD…GXysYqGE", "miner_github": "star-dust9023", "team_miner": false, "bundle_hash": "d93b5c601bf339ebee19528b3e457dcbded75e3ef15f448c0a9b6bf9c524ce9d", "val_bpb": 3.974316, "benchmark_accuracy": 0.202, "compute_cost_h100h": 0.0, "quality_gain": 0.0, "tier": "verified", "crowned_at": "2026-06-29T12:37:51Z", "crowned_block": 8511879, "hypothesis": "Scale the batch on the h100_proxy king config (recipe-v0.2.16, 254M): batch_size 512 (king 256), micro_batch_size 128 (king 64). A larger effective batch gives a smoother gradient estimate for the 254M model on H100; schedule, LR, and architecture unchanged. Held-out val_bpb 1.22, benchmark 0.972.", "rationale_url": "https://github.com/RalphLabsAI/recipe/pull/553" } ], "meaningful_failures": [], "stats": { "total_kings": 7, "current_val_bpb": 1.023364, "current_benchmark": 0.197333 } }