Inference Scaling Laws Llemma Models
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Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models
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This is a reward model finetuned on Llemma-34b. To score the steps, pass encoded text = question + solution as input.
rewards = model(text).mean(dim=-1).sigmoid()[index]
Where index is the positions for special end tokens of each step.
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