hi-todayis-jh/ouro-1.4b-thinking-per-context-rb-c1024-rbgate-glr2e-4-ragged-math-154712-20261009-rollouts

Training rollouts: per_context_rb-c1024-analytic-rbgate-gatelr2e-4-ragged-154712-20261009-ragged-rl Every sampled trajectory of the marginal RL run per_context_rb-c1024-analytic-rbgate-gatelr2e-4-ragged-154712-20261009-ragged-rl (algorithm per_context_rb, 145 optimizer steps, 256 prompts x 8 generations per step) on MATH train, generated with Dense-Ragged decoding (sampled exit depths, minimum depth 2, real KV truncation). Checkpoints:… See the full description on the dataset page: https://huggingface.co/datasets/hi-todayis-jh/ouro-1.4b-thinking-per-context-rb-c1024-rbgate-glr2e-4-ragged-math-

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