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---
title: MTEB Legacy Leaderboard
emoji: 🥇
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 4.20.0
app_file: app.py
pinned: false
tags:
- leaderboard
startup_duration_timeout: 1h
fullWidth: true
---
## The MTEB Leaderboard repository
This repository contains the code for pushing and updating the MTEB leaderboard daily.
| Relevant Links | Decription |
|------------------------------------------|------------------------------|
| [mteb](https://github.com/embeddings-benchmark/mteb) | The implementation of the benchmark. Here you e.g. find the code to run your model on the benchmark. |
| [leaderboard](https://huggingface.co/spaces/mteb/leaderboard) | The leaderboard itself, here you can view results of model run on MTEB. |
| [results](https://github.com/embeddings-benchmark/results) | The results of MTEB is stored here. To learn how to add results to the Leaderboard, refer to the documentation: [Adding a Model to the Leaderboard](https://github.com/embeddings-benchmark/mteb/blob/main/docs/adding_a_model.md).
|
## Developer setup
To setup the repository:
```bash
git clone https://github.com/embeddings-benchmark/leaderboard.git
cd leaderboard
# install requirements
pip install -r requirements.txt
# fetch new results
# python refresh.py
# if you'd like to add results to previously cached models, you may have to remove these models in `EXTERNAL_MODEL_RESULTS.json`
# you can also directly delete `EXTERNAL_MODEL_RESULTS.json` and it will recreate it (but be much slower)
# run the leaderboard
python app.py
```
|