---
title: "Every Eval Ever Results Now on Hugging Face Model Pages"
source: "Hugging Face：Blog（RSS）"
source_tier: "t1"
url: "https://huggingface.co/blog/eee-community-evals"
permalink: "https://feed.astralor.com/items/itm_3f0a56fa70110027403b0083"
published: "2026-06-30T00:00:00.000Z"
score: 57
channel: "ai"
tags: ["Hugging Face","Open Source Community","Model Evaluation","Model Transparency"]
---

# Every Eval Ever Results Now on Hugging Face Model Pages

## At a glance

Hugging Face announces the integration of 'Every Eval Ever' results into model pages, allowing users to view performance across all public evaluation benchmarks directly. This feature, built on open-source community evaluation data, aims to enhance model transparency and comparability, helping developers quickly select the right model.

## Key points

- New 'Evals' tab on model pages consolidates all known evaluation results
- Data sourced from community benchmarks like Open LLM Leaderboard, MMLU, HELM
- Supports filtering and sorting by task, dataset, and metric
- Users can contribute new evaluation results to continuously enrich the database

## Full text

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

---

Verify against the original before citing; curated by Astral Feed: https://feed.astralor.com/items/itm_3f0a56fa70110027403b0083