Literature · AI-MO
Compact 1.7B distilled Kimina-Prover variant for Lean 4 proof generation on olympiad-level theorems — runs on a single consumer GPU.
1–30s
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
Compact 1.7B distilled Kimina-Prover variant for Lean 4 proof generation on olympiad-level theorems — runs on a single consumer GPU. Served through the generic Modal runner, which pulls AI-MO/Kimina-Prover-Distill-1.7B 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.
