This is a character detection model specifically optimized for Japanese video game text. It adopts the Pareto optimal design and achieves the best balance between accuracy and latency. The model redefines text recognition as a character detection task and is trained on Japanese video game data, achieving advanced recognition performance.

Computer VisionOnnxMultiple Languages

Moonlight is a Mixture of Experts (MoE) model with a total of 16B parameters and 3B active parameters, trained based on the Muon optimizer using 5.7T tokens. This model improves the current Pareto frontier, achieving better performance with fewer training FLOPs and excelling in multiple benchmark tests.

Natural Language ProcessingTransformers