Up to 3.2x Faster Inference with LFM2.5-DSpark

The LFM2.5-DSpark model architecture has been introduced to improve inference speeds by up to 3.2 times compared to previous iterations. This performance gain is achieved through architectural optimizations designed to reduce latency during the generation process. These improvements allow developers to run high-performance models on more constrained hardware configurations, potentially reducing operational costs for AI applications.