metadata
license: cc0-1.0
configs:
- config_name: results
data_files:
- split: test
path: model_scores_2026-08-27.json
language:
- en
tags:
- benchmark-results
- language-model-evaluation
- small-language-models
Micro-Model-Bench
Micro-Model-Bench is a collection of benchmark results that have been collected using lm-evaluation-harness
Models Recorded
2026-08-27:
- 154 model records across 49 organizations
- 125 records marked isValid: true, all other models haven't been evaluated because of gated access or lm-eval not being able to benchmark them.
What benchmarks are included:
- ARC-Easy: arc_easy_acc, arc_easy_acc_norm
- ARC-Challenge: arc_challenge_acc, arc_challenge_acc_norm
- HellaSwag: hellaswag_acc, hellaswag_acc_norm
- PIQA: piqa_acc, piqa_acc_norm
- SciQ: sciq_acc, sciq_acc_norm
- WinoGrande: winogrande_acc
- OpenBookQA: openbookqa_acc, openbookqa_acc_norm
- BoolQ: boolq_acc
- LAMBADA: lambada_acc
- LogiQA: logiqa_acc
- MathQA: mathqa_acc
Uses
This dataset has been made for people to be able to compare models under 150M against eachother and provide it in a fully open way without any restrictions. You can make leaderboards, visualisations, etc.
Dataset Structure
The JSON file contains two top-level objects:
{
"orgs": {
"example-org": {
"name": "example-org",
"url": "https://huggingface.co/example-org"
}
},
"models": [
{
"name": "Example-10M-Base",
"org": "example-org",
"params": 10000000,
"links": {
"card": "https://huggingface.co/example-org/Example-10M-Base"
},
"isCustom": false,
"isLooped": false,
"loopCount": 1,
"firstCommit": "2026-08-27",
"arc_easy_acc": 0.0,
"arc_easy_acc_norm": 0.0,
"isValid": true
}
]
}
License
The results dataset is dedicated to the public domain under CC0 1.0. Individual models retain their own licenses and terms.
Attribution
No attribution is required but if you are using Micro-Model-Bench for any public project we would appreciate a citation or link:
Attribution does not imply endorsement by Veyra AI or the model authors represented in this dataset.