Fine-Tuning is focused on the production of fine-tuned models. Contributors are rewarded based on their models' head-to-head scores, with evaluations based on a continuous stream of synthetic data generated by the top LLMs. The evaluation data setup helps reduce the potential of the benchmark being gamed.