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Download README.md from Glint-Research/Tiny-ML-Leaderboard: direct link, hf CLI and curl.
- Browser
- Download file 873 Bytes
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https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/resolve/0536715ca3f8b970f0e513d4c10505d113a64aa4/README.md
- Command line
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hf download hf://spaces/Glint-Research/Tiny-ML-Leaderboard@0536715ca3f8b970f0e513d4c10505d113a64aa4/README.md
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curl -L -o README.md https://huggingface.co/spaces/Glint-Research/Tiny-ML-Leaderboard/resolve/0536715ca3f8b970f0e513d4c10505d113a64aa4/README.md
873 Bytes
| 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 Glint Research 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 Glint Research eval suite (sliding-window log-prob scoring). Methodology and reproduction scripts are linked from each model card. | |
| ## Links | |
| - [Glint Research on HF](https://huggingface.co/Glint-Research) | |
| - [lh-tech.de comparison](https://lh-tech.de/ai/compare-tiny-models.html) — independent community page | |
| - [Submit a model](https://huggingface.co/spaces/Glint-Research/Tiny-LM-Leaderboard/discussions) | |