Our Tiny Model Family
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Small Logic Engines
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Axiomic Labs is an independent, Australian based, AI research lab. Our work explores how small models can achieve stronger capabilities through better training data, compact architectures, and targeted benchmarks.
Latest Releases
Models
| Model | Description |
|---|---|
| GPT-S2-5M | Most capable member of the GPT-S family — new T-X4 architecture, #1 on the Open SLM Leaderboard (sub-10M category) |
| GPT-S-1.4M | Our tiniest small model, built on the T-X3 architecture |
| GPT-X2-125M | Flagship model featuring second-gen T-X2 architecture — near state-of-the-art at 125M scale |
Benchmarks
| Benchmark | Description |
|---|---|
| ArithMark-3.0 | 3rd-gen arithmetic benchmark — 1,000 word problems across 17 categories. Powers the Open SLM Leaderboard |
Datasets
| Dataset | Description |
|---|---|
| NPset-2-Python-Edu | Natural-language code dataset, converted from stack-edu (Python split) using the new NPset-2 spec |
Tools
| Tool | Description |
|---|---|
| Open SLM Leaderboard | Ranks small language models (<150M params) across 5 hand-picked benchmarks |
Team
We're always looking for talented, knowledgeable collaborators. To apply, open a discussion on this README.
models 6
AxiomicLabs/GPT-S-1.4M
Text Generation • 1.43M • Updated • 413 • 6
AxiomicLabs/GPT-X2-125M
Text Generation • 0.1B • Updated • 1.29k • 25
AxiomicLabs/GPT-X-125M
Text Generation • 0.1B • Updated • 391 • 4
AxiomicLabs/GPT-S2-5M
Text Generation • 5.38M • Updated • 1.91k • 14
AxiomicLabs/GPT-S-5M
Text Generation • 5.16M • Updated • 802 • 13
AxiomicLabs/GPT-X2-TOK-32K
Updated • 1
datasets 6
AxiomicLabs/Arithmark-3.0
Viewer • Updated • 1k • 449 • 9
AxiomicLabs/ArithMark-2.0
Viewer • Updated • 2.5k • 611 • 11
AxiomicLabs/ArithMark
Viewer • Updated • 5k • 160 • 6
AxiomicLabs/NPset-2-Python-Edu
Viewer • Updated • 4.87M • 225 • 6
AxiomicLabs/LogicMark
Viewer • Updated • 5k • 37 • 1
AxiomicLabs/NPset-python
Viewer • Updated • 7.45M • 259 • 4
