Literature · AI-MO
8B distilled Kimina-Prover variant — Lean 4 theorem-proving model trained on olympiad-level mathematical problems with reinforcement learning over proof traces.
30s–5min
Runs on On-demand GPU
Runs on our servers with on-demand compute. A first run needs time to load the model; active capacity can be reused and scales down when idle.Run this model
About this model
8B distilled Kimina-Prover variant — Lean 4 theorem-proving model trained on olympiad-level mathematical problems with reinforcement learning over proof traces. Served through the generic Modal runner, which pulls AI-MO/Kimina-Prover-Distill-8B from the Hugging Face Hub and runs it as a text-generation pipeline. Inputs and outputs were derived from the repository's declared pipeline tag rather than written by hand — check the model card before relying on a result.
Standardized I/O contract
Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.
Inputs
Prompt
Outputs
The model's completion.
