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Logics-MLLM

Logics-MLLM

Models in Library5
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Models

Model · Reinforcement learning

Logics-SWE-Qwen3.6-27B

Logics-MLLM

[2026.09.18] Released Logics-SWE-Qwen3.6-27B under the Apache-2.0 license. - The technical report is in preparation. A link will be added when available. Logics-SWE-Qwen3.6-27B is a 27B-parameter model developed for repository-level software engineering agents. Starting from the Qwen3.6-27B model used in our study, it combines category-aware expert development with multi-teacher on-policy distillation into a single deployment policy. Repository-level tasks require agents to navigate code, edit files, execute commands, inspect feedback, and iteratively repair their solutions. Our work starts from the category see-saw: aggregate progress during joint RL can conceal opposing changes across…

Open weights apache-2.0