I ran SWE‑bench on a small LLM to map failure modes and understand how tiny models behave under full task‑grounded pressure. This experiment tested whether a small model could sustain a multi‑stage evaluator pipeline under frontier‑level task conditions — and what breaks first when it can’t.
𝐓𝐡𝐞 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐞𝐝 𝐚 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: 𝐫𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 → 𝐜𝐫𝐢𝐭𝐢𝐪𝐮𝐞 → 𝐩𝐚𝐭𝐜𝐡 → 𝐜𝐨𝐦𝐩𝐚𝐫𝐢𝐬𝐨𝐧. The objective was not correctness but signal: determining whether the model could produce meaningful evaluator grade behavior and reveal its own capability limits.
𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐞𝐬
•The pipeline architecture executed end‑to‑end.
•The model produced coherent reasoning about the SQLFluff quiet‑mode issue.
