community Reddit LocalLLaMA 2026-10-19T12:40 正文 thin 0 words

A bare IPython harness ties production coding agents with Qwen3.5-9B on TB-Lite, and tool-output normalization fixed most of the run-to-run variance

英文标题:A bare IPython harness ties production coding agents with Qwen3.5-9B on TB-Lite, and tool-output normalization fixed most of the run-to-run variance

We’ve been testing which agent harness works best for small local models. The result: a single-tool IPython harness can match much heavier production harnesses on Terminal-Bench Lite, and much of the “randomness” in small-model agents comes from noise in the environment, not the model. Setup
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中文

We’ve been testing which agent harness works best for small local models. The result: a single-tool IPython harness can match much heavier production harnesses on Terminal-Bench Lite, and much of the “randomness” in small-model agents comes from noise in the environment, not the model. Setup

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English / 原文

We’ve been testing which agent harness works best for small local models. The result: a single-tool IPython harness can match much heavier production harnesses on Terminal-Bench Lite, and much of the “randomness” in small-model agents comes from noise in the environment, not the model. Setup