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| Benchmark scores are computed after post-training, for all but the "base model" score. | ||
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| All scores are averages over 4 models (Qwen-3-1.7B, Qwen-3-4B, SmolLM3-3B and Gemma-3-4B). | ||
| All scores are averages over 4 models (Qwen3-1.7B, Qwen3-4B, SmolLM3-3B, and Gemma-3-4B-IT). |
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Nitpick: Here we can leave Gemma-3-4B (or Gemma3-4B), because the "IT" means instruction tuned (and we use the base model for the agents and the instruction tuned model for the human baseline only.
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| Add your code to `agents/<agent_name>/` with: | ||
| 1. `solve.sh` - Script that calls the agent | ||
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This is rendered a bit weirdly (the 1. seems off)
JackPayne123
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May 11, 2026
Re-ran the full 22-eval baseline against base Qwen/Qwen3-1.7B IT on image :18 (was :16). _index__limit100.json now records git_sha=5352aca, computed_at=2026-05-11T03:39Z. Same four evals still fail under :18: bfcl, spiralbench_mini, political_bias_openai, moru (see CHANGELOG 2026-05-11 entry + design-todos aisa-group#2 / aisa-group#6 for each). Source run: 2026-05-11_11-59_baseline_qwen_qwen3-1.7b_limit100. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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