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thientrangngv/SERA-KimiK3-Django-SWEAgent-Cliff32k-T1

SERA Kimi-K3 Django SWE-Agent — Cliff-chunked T1 (first rollout) 572 training records built from 210 Kimi-K3 SWE-agent trajectories on Django, split to fit a 32,768-token context with CliffCompaction instead of being truncated. Why chunked A 100+ step agent rollout does not fit a 32k training window — 76% of the source T1 trajectories exceed it. Truncating them throws away most of the supervision, and trains the model on a context format it never sees at… See the full description on the dataset page: https://huggingface.co/datasets/thientrangngv/SERA-KimiK3-Django-SWEAgent-Cliff32k-T1.

sourceHugging Faceodc-byupdated 1mo agoView on Hugging Face
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