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Download README.md from SlayerLab/fabryka-track: direct link, hf CLI and curl.
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https://huggingface.co/spaces/SlayerLab/fabryka-track/resolve/main/README.md
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curl -L -o README.md https://huggingface.co/spaces/SlayerLab/fabryka-track/resolve/main/README.md
1.17 kB
metadata
title: Fabryka AI track leaderboard
emoji: 🏁
colorFrom: gray
colorTo: blue
sdk: static
pinned: false
license: apache-2.0
short_description: Fabryka AI leaderboard of small language models
tags:
- leaderboard
models:
- Maggio33/GoLLeM-110M-PL
- Maggio33/GoLLeM-110M-PL-v2
- Maggio33/GoLLeM-110M-PL-v3
- SlayerLab/GoLLeM-110M-PL-v2
- SlayerLab/GoLLeM-110M-PL-v3
- Maggio33/gollem-v4-250m-pl
- SlayerLab/gollem-v4-250m-pl
- SlayerLab/GoLLeM-45M-PL
- SlayerLab/pollock-mini-lm-125m
- SlayerLab/Slayer149-Balanced-ARC-E-ft-45500
- SlayerLab/gollem-v5-ckpts
- SlayerLab/GoLLeM-v6-250M
- Maggio33/gollem-v6-250m
- Maggio33/Slayer139-1.01
- SlayerLab/Slayer139-1.01
Fabryka AI track leaderboard
The models listed in this Space's metadata have a row on the Fabryka AI model leaderboard: https://track.fabryka.ai/models
The leaderboard ranks small language models with the Glint Tiny-ML protocol (BLiMP, ARC-Easy and WikiText-2 byte perplexity, combined into the "eff" score; the size bonus in eff is scaled for 1K–150M parameters). Each row states whether the numbers were measured by Fabryka or reported by the model's authors.