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Developer tests local 35B model's agentic tool use, finds harness issues

A developer is evaluating the agentic capabilities of the ornith-1.0-35b-Q8_0 model using llama.cpp. The model demonstrated strong performance by consistently avoiding "trap" tools, which are designed to elicit undesirable behavior. However, the developer encountered issues with the evaluation harness itself, specifically regarding termination detection and error handling, which led to incorrect failure classifications for otherwise correct model outputs. The developer is seeking feedback on refining the harness to accurately assess model performance, particularly in distinguishing between model limitations and harness bugs. AI

IMPACT This evaluation highlights challenges in accurately assessing LLM agentic capabilities and the importance of robust evaluation harnesses.

RANK_REASON The item discusses the evaluation of an existing model's capabilities and the refinement of an evaluation harness, rather than a new model release or significant research.

Read on dev.to — LLM tag →

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Developer tests local 35B model's agentic tool use, finds harness issues

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  1. dev.to — LLM tag TIER_1 English(EN) · QuantaMind ·

    Agentic tool-use eval on a local 35B (Q8): trap-tool avoidance is solid, but I can't tell if my failures are the model or my harness

    <p>I've been running a small agentic eval harness against a local model and I'd like a sanity check on both my methodology and how you all handle agent-loop termination.</p> <p>Setup</p> <p>Target: ornith-1.0-35b-Q8_0 (Q8_0), served via llama.cpp<br /> Harness tier: Medium · K=8 …