Datasets:

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LocalLLaMA

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typed-decisions

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LocalLLaMA 210

Nirnaya fine-tuned specialist results

Model: kshitijthakkar/nirnaya-0.4b-0.2a-decision
Evaluation results and reproduction adapter are submitted in model PR #1.

• Mode: fine-tuned specialist. The model was trained on this dataset's all/train split (6,000 rows); all/test was excluded from training. Compare it with fitted specialists, not the zero-shot table.
• Split: all/test, 400 cases / 2,000 decisions; zero inference errors.
• Overall accuracy: 0.5075.
• KL(gold || model): 0.32660 nats; Brier: 0.17917; ECE: 0.05083.
• Observability workflow (agent_trace_observability): 0.376 accuracy over 500 decisions. Other workflow accuracies: customer service 0.446, invoice processing 0.594, security incidents 0.614.
• Serving: NVIDIA L4; five question prompts per case are batched into one padded forward pass. Model load excluded. Case latency p50 45.62 ms, p95 51.26 ms, mean 46.45 ms.
• Model revision: adcca573db021c43718984baa911b47bdfd045df.

The report defines scoring details and latency scope and includes per-decision outputs, environment details, and the evaluator. ECE uses 10 equal-width bins and top-label confidence versus argmax agreement. Brier is the sum of squared probability errors over options. These are self-reported community results and have not been independently reproduced by leaderboard maintainers.