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Download README.md from Glint-Research/Tiny-ML-Leaderboard: direct link, hf CLI and curl.
- Browser
- Download file 856 Bytes
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https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/resolve/08af50cc5c7f6120a92823633b2d3f1e4064f533/README.md
- Command line
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hf download hf://spaces/Glint-Research/Tiny-ML-Leaderboard@08af50cc5c7f6120a92823633b2d3f1e4064f533/README.md
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curl -L -o README.md https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/resolve/08af50cc5c7f6120a92823633b2d3f1e4064f533/README.md
856 Bytes
metadata
title: Tiny-LM Leaderboard
emoji: 📊
colorFrom: blue
colorTo: green
sdk: static
pinned: true
sdk_version: 2.0.0
short_description: Every tiny LM, same eval harness, transparent benchmarks
A community leaderboard for sub-100M parameter language models. Includes CompactAI-O models, SupraLabs, and any other tiny LM with verifiable benchmarks.
Data is pull-request driven. Open an issue or PR to add your model.
Methodology
All benchmarks use the CompactAI eval suite (sliding-window log-prob scoring). Methodology and reproduction scripts are linked from each model card.
Links
- CompactAI-O on HF
- lh-tech.de comparison — independent community page
- Submit a model