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Prometheus 13b V1.0

Developed by prometheus-eval
Prometheus is an evaluation-focused language model fine-tuned from Llama-2-Chat, excelling at assessing text quality against custom criteria, serving as a cost-effective alternative to GPT-4 evaluation.
Downloads 1,726
Release Time : 10/12/2023

Model Overview

Fine-tuned on 100K feedback data points, this model performs fine-grained evaluation of text responses against reference answers and scoring rubrics, with performance comparable to GPT-4. It can also function as a reward model for RLHF.

Model Features

Fine-grained evaluation capability
Achieves more precise text evaluation than general models through reference answers and customized scoring rubrics
Cost-effective alternative
Evaluation performance surpasses GPT-3.5-Turbo and matches GPT-4 at lower cost
Multi-criteria adaptability
Supports customized evaluation criteria like child-readability, cultural sensitivity, creativity

Model Capabilities

Text quality evaluation
Feedback generation
Reward modeling
Multi-dimensional scoring

Use Cases

Model evaluation
LLM output evaluation
Evaluates text quality from different LLMs against specific criteria
Shows high agreement with GPT-4 evaluations across multiple benchmarks
Reinforcement learning
RLHF reward model
Provides automated reward signals for human feedback reinforcement learning
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