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43,234
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Snowball relay SFT rows (tokenized)

The exact training rows behind the relay SFT models of Grug 67B-A2B 09-21 (open-athena/Grug-67B-A2B-Datakit-SFT-262K-2026.09.21). Each row is one episode, already rendered with the 09-21 serving chat template and tokenizer: ids (int32 token ids), loss (int8, 1 = the token is a trained target), n_tokens, and id (the episode's session id). Train on them with marin's experiments/post_training/relay_sft (the rows go into the cache unchanged; nothing is re-tokenized).

config rows tokens steps per pass (16 x 65,536) trained model
h8_allkimi 10,308 (5,916 relay + 4,392 Kimi SWE-smith) 324.2M 401 laion/snowball-67b-a2b-relay-sft-allkimi-step1203: 09-21 + 3 passes
h9_acont 8,982 (4,590 relay + 4,392 Kimi SWE-smith) 270.9M 333 laion/snowball-67b-a2b-relay-sft-acont-step999: arm A + 3 passes

h8_allkimi reproduces from the public base alone. h9_acont continued from arm A (09-21 + 3 passes, 246 steps, over 1,616 earlier relay rows). Arm A's rows are not published because some carry a benchmark canary GUID from task starter files; H8 and H9 score alike on every benchmark. No relay row in either config carries one.

Relay rows: the student model played the early turns of a CalibForge terminal task and Qwen3.8-27B took over; only Qwen's turns carry loss. The readable traces, with labels and the rows left out, are in laion/calibforge-relay-traces. Kimi rows: open-athena/Kimi-2.5-swesmith-sandboxes-with_tests-oracle_verified_120s-maxeps-32k (the 4,392 trials listed in that dataset's kimi_trials.txt), rendered the same way with every assistant turn trained.

Recipe: AdamH, LR 3e-4 for both parameter groups, 5 % warmup, one cosine over 3 passes, router bias frozen at the base's, seed 0. packs.json gives each config's pack count; SHA256SUMS the shard hashes.

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