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  <sub>Setup: `lm-evaluation-harness` (CETVEL tasks), H100 80GB, bf16, SDPA attention, batch size 128, full dataset (no `--limit`).</sub>
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  <tr><th style="text-align:left">CohereLabs__aya-expanse-32b</th>
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  <td style="background:#ffeb9c">52.47</td>
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  <td style="background:#f8cbad">20.48</td>
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  </tbody>
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  </table>
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  > **Notes**
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  > • QA = mean F1 over **TQuAD (TR)** and **XQuAD (TR)** for this run.
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  <sub>Setup: `lm-evaluation-harness` (CETVEL tasks), H100 80GB, bf16, SDPA attention, batch size 128, full dataset (no `--limit`).</sub>
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+ <table>
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+ <thead>
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+ <tr><th style="text-align:left">Model</th><th>MCQA</th><th>QA</th><th>TC</th></tr>
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+ </thead>
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+ <tbody>
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  <tr><th style="text-align:left">CohereLabs__aya-expanse-32b</th>
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  <td style="background:#ffeb9c">52.47</td>
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  <td style="background:#f8cbad">20.48</td>
 
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  </tbody>
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  </table>
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  > **Notes**
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  > • QA = mean F1 over **TQuAD (TR)** and **XQuAD (TR)** for this run.
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