---
title: "prometheus-eval"
type: "tool"
slug: "prometheus-eval-prometheus-eval"
canonical_url: "https://www.graphcanon.com/tools/prometheus-eval-prometheus-eval"
github_url: "https://github.com/prometheus-eval/prometheus-eval"
homepage_url: null
stars: 1101
forks: 71
primary_language: "Python"
license: "Apache-2.0"
categories: ["evaluation-observability", "llm-frameworks"]
tags: ["gpt4", "evaluation", "llm", "python", "litellm"]
updated_at: "2026-07-07T18:47:55.422737+00:00"
---

# prometheus-eval

> Evaluate your LLM's response with Prometheus and GPT4

Prometheus-Eval is a Python-based tool for evaluating the performance of large language models using metrics from Prometheus and interactions with GPT-4.

## Facts

- Repository: https://github.com/prometheus-eval/prometheus-eval
- Stars: 1,101 · Forks: 71 · Open issues: 14 · Watchers: 2
- Primary language: Python
- License: Apache-2.0
- Last pushed: 2025-04-25T03:58:37+00:00

## Categories

- [Evaluation & Observability](/categories/evaluation-observability.md)
- [LLM Frameworks](/categories/llm-frameworks.md)

## Tags

gpt4, evaluation, llm, python, litellm

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## README (excerpt)

```text
<p align="center">
  <img src="https://raw.githubusercontent.com/prometheus-eval/prometheus-eval/main/assets/logo.png" alt="Prometheus-Logo" style="width: 15%; display: block; margin: auto;">
</p>

<h1 align="center">🔥 Prometheus-Eval 🔥</h1>

<p align="center">
  <a href="https://arxiv.org/abs/2405.01535"><img src="https://img.shields.io/badge/arXiv-2405.01535-b31b1b.svg" alt="arXiv"></a>
  <a href="https://huggingface.co/prometheus-eval"><img src="https://img.shields.io/badge/Hugging%20Face-Organization-ff9d00" alt="Hugging Face Organization"></a>
  <a href="https://github.com/prometheus-eval/prometheus-eval/blob/main/LICENSE"><img src="https://img.shields.io/github/license/prometheus-eval/prometheus-eval.svg" alt="License"></a>
  <a href="https://pypi.org/project/prometheus-eval/"><img src="https://badge.fury.io/py/prometheus-eval.svg" alt="PyPI version"></a>
</p>

<p align="center">
  ⚡ A repository for evaluating LLMs in generation tasks 🚀 ⚡ <br>
</p>


**Latest News** 🔥

- [2025/04] We release the latest iteration of Prometheus:  **[M-Promethues (3B, 7B, & 14B)](https://huggingface.co/collections/Unbabel/m-prometheus-67f3b17e6409b2550b698822)!**

  - They outperform previous open LLM judges on multilingual meta-evaluation benchmarks ([MM-Eval](https://arxiv.org/abs/2410.17578) and [M-RewardBench](https://arxiv.org/abs/2410.15522)), and achieves exceptional results on [literary translation evaluation](https://arxiv.org/abs/2410.18697).
  - The models also perform strongly in English, with the 7B and 14B models surpassing Prometheus 2 7B and 8x7B on [RewardBench](https://arxiv.org/abs/2403.13787), respectively.
  - When used as judges at inference time, they significantly boost multilingual generation quality.
  - Checkout our [paper](https://arxiv.org/abs/2504.04953), where we present extensive ablations to uncover the key factors behind effective multilingual judge training.

- [2024/06] We release the **BiGGen-Bench** and **Prometheus 2 BGB (8x7B)**!

  - BiGGen-Bench features 9 core capabilities, 77 tasks, and 765 meticulously crafted instances, each with specific evaluation criteria.
  - We evaluated 103 frontier language models by 5 state-of-the-art evaluator language models and analyzed the findings in our [paper](https://arxiv.org/abs/2406.05761).
  - We continually trained Prometheus 2 8x7B on BiGGen-Bench evaluation trace and built our most capable evaluator LM [Prometheus 2 BGB](https://huggingface.co/prometheus-eval/prometheus-bgb-8x7b-v2.0), even surpassing Claude-3-Opus on absolute grading tasks.
  - Checkout our [dataset](https://huggingface.co/datasets/prometheus-eval/BiGGen-Bench), [evaluation results](https://huggingface.co/datasets/prometheus-eval/BiGGen-Bench-Results), [leaderboard](https://huggingface.co/spaces/prometheus-eval/BiGGen-Bench-Leaderboard), [interactive report](https://hub.zenoml.com/project/c84cfca5-71c9-4f89-aa0e-218c65c821e4/BiGGen\%20Bench\%20Results), and the [code](https://github.com/prometheus-eval/prometheus-eval/tree/main/BiGGen-Bench)!

- [2024/05] We release Prometheus 2 (7B & 8x7B) models!

  - **Prometheus 2 (8x7B)** is an open-source state-of-the-art evaluator language model!
    - Compared to Prometheus 1 (13B), Prometheus 2 (8x7B) shows improved evaluation performances & supports assessing in pairwise ranking (relative grading) formats as well!
    - It achieves a Pearson correlation of 0.6 to 0.7 with GPT-4-1106 on a 5-point Likert scale across multiple direct assessment benchmarks, including [VicunaBench](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge/data/vicuna_bench), [MT-Bench](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge/data/mt_bench), and [FLASK](https://github.com/kaistAI/FLASK). 
    - It also scores a 72% to 85% agreement with human judgments across multiple pairwise ranking benchmarks, including [HHH Alignment](https://github.com/google/BIG-bench/tree/main/bigbench/benchmark_tasks/hhh_alignment), [MT Bench Human Judgment](
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/prometheus-eval-prometheus-eval`](/api/graphcanon/tools/prometheus-eval-prometheus-eval)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
