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prometheus-7b-v2.0

prometheus-eval

Prometheus 2 is an alternative of GPT-4 evaluation when doing fine-grained evaluation of an underlying LLM & a Reward model for Reinforcement Learning from Human Feedback (RLHF). Prometheus 2 is a language model using Mistral-Instruct as a base model. It is fine-tuned on 100K feedback within the Feedback Collection and 200K feedback within the Preference Collection. It is also made by weight merging to support both absolute grading (direct assessment) and relative grading (pairwise ranking). The surprising thing is that we find weight merging also improves performance on each format. Prometheus is trained with two different sizes (7B and 8x7B). You could check the 8x7B sized LM on this page. Also, check out our dataset as well on this page and this page.

Text generation
Input Text→ Output Text
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