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# Weaver Distilled for MMLU-Pro
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## Model Details
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- **Training Data**: MMLU-Pro problems with Weaver scores from 35 LM judges and reward models
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- **Task**: Binary classification for answer correctness prediction
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## Performance
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On MMLU-Pro with Llama 3.1 70B generations:
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<!-- TODO: Update with actual performance numbers -->
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- **Weaver (Full)**: XX.X% accuracy, high compute cost
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- **Weaver (Distilled)**: XX.X% accuracy, 99.97% compute reduction
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- **Majority Voting**: XX.X% accuracy
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## Quick Start
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```python
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# Weaver Distilled for MMLU-Pro
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This is a distilled cross-encoder model based on ModernBERT-large, trained to predict the correctness of answers on MMLU Pro. This specialized verifier was trained on Weaver scores aggregated over 35 different verifiers and reward models.
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## Model Details
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- **Training Data**: MMLU-Pro problems with Weaver scores from 35 LM judges and reward models
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- **Task**: Binary classification for answer correctness prediction
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## Quick Start
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```python
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