Tiny-ML Leaderboard
Sub-100M parameter language models, same eval harness, transparent methodology.
Why this exists. The community deserves a single place to compare tiny LMs fairly.
We include every model with verifiable benchmarks — ours, our competitors', yours.
Submit a model via PR.
Detailed Results
| Model |
Org |
Params |
WikiText-2 ↓ |
BLiMP ↑ |
ARC-Easy ↑ |
Training Tokens |
Links |
Benchmark Overview
CompactAI
SupraLabs
Axiomic Labs
Mihai Popa
BLiMP ↑ (higher is better)
ARC-Easy ↑ (higher is better)
WikiText-2 ↓ (lower is better)
Model Efficiency
Parameters vs Avg Score — high efficiency zone (≥1σ above trend)
Faint dashed line: average trend
Bold dashed line: high-efficiency threshold (trend + 1σ)
Yellow shaded area: models outperforming expectations for their size
Add your model
Open a PR on this Space with your model's benchmark results and reproduction steps.
We require: params, training data provenance, eval harness used, and scores for at least 2 of the 3 benchmarks.