Project AURIONAI Use-Cases Research & Innovation
Shanghai Jiao Tong University
reasoning

LIMO

Reasoning fine-tune using about 1% of prior training data; developer not stated in the notes.

Shanghai Jiao Tong UniversityShanghai Jiao Tong UniversityChina
Figure from the LIMO paper: LIMO achieves substantial improvement over NuminaMath with fewer samples while excelling across diverse mathematical and multi-discipline benchmarks.
Levelmodel
Classreasoning
Parametersnot in the notes
Contextnot in the notes
ReleasedFeb 2025
Opennessunknown
Runs onnot in the notes
Statusnot in the notes

Benchmark Results

vendor-reported
AIME24 2024math
vendor-reported
63.3
050100

Score in %. Higher is better.

Feb 2025 arxiv.org
MATH500math
vendor-reported
95.6
050100

Score in %. Higher is better.

Feb 2025 arxiv.org
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

R&D Topics

Small-data reasoning fine-tuning and distillationexemplar

Identity

Developer
Shanghai Jiao Tong University
Family
not in the notes
Released
Feb 2025 sourcesnotes
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
not in the notes
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
not in the notes
Output
not in the notes
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
unknown
Licence
not in the notes sources
Access routes
not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. LIMO: Less is More for Reasoning arxiv.org https://arxiv.org/abs/2502.03387
  2. arxiv.org/html/2502.03387 https://arxiv.org/html/2502.03387

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "LIMO", https://aurion.semai.id/models/limo/, records of October 2026.