The gold standard for mathematical AI
Fields Model Initiative
Training LLMs for mathematics that converge to Fields Medal performance. A non-profit initiative.
Training LLMs for mathematics that converge to Fields Medal performance. A non-profit initiative.
The Fields Model Initiative accelerates open-source research on mathematical LLMs by providing large-scale compute (128+ H100 GPUs) to vetted projects in exchange for open mathematical data and open-source artifacts. Researchers apply with a proposal, contribute high-quality math datasets under an open license, and, if accepted, use our GPUs to train models whose outputs are shared with the community.
Researchers apply with a proposal for compute. This can range from finetuning LLMs on mathematical data, to analysing LLM checkpoints to understand reasoning better. We vet your proposal and decide whether to give access.
As a "fee" to get access to the compute offered by the Fields Model Initiative, you need to provide data points in mathematics as directed by us, under an open licence.
We provide you access to our GPUs. You make your artefact, which will benefit mathematicians, public under an open-source licence.
Our long-term goal is a fully open-source LLM that can genuinely assist mathematicians across all domains, ultimately approaching Fields Medal–level capability.
One of our primary aims of improving the state of the art of LLM capability is by making available compute grants. LLMC, NII provides grant support through compute access and related engineering efforts. These grants are intended to support researchers carrying out large training runs and experiments to devise better models in AI4Math.
To improve the state of mathematical benchmarks and datasets, which is skewed towards specific types of datasets (e.g. proof generation), we ask researchers who are given access to compute to contribute a small amount of mathematical datapoints, in order to improve, over time, the state of mathematical benchmarking and datasets. This requirement will be waived for large partners.
Each competing team from the AIMO Proof Pilot was given access to up to 24 H200 GPUs through LLMC, NII to train their models, as well as engineering assistance. They had access from May 2026 to mid June 2026. Only three families of fully-open source models (Olmo, SmolLM, Apertus) were supported, according to the rules of the AIMO Proof Pilot. The data fee was waived to allow contestants to fully focus on creating the best-possible models.
Pontus Stenetorp's group and LLMC, NII provide access to compute resources and related engineering support for grant recipients.
All applications will be reviewed by our team and must be made in a specified format. This is to ensure that access to hardware resources is as smooth as possible and no exciting idea is left behind. You must also agree that the data artefact you produce will be available under an open-source licence.
We have a standardized process for submissions.