We are excited to announce the LFM2.5-1.2B model family, our most capable release yet for edge AI deployment. It builds on the LFM2 device-optimized architecture and represents a significant leap forward in building reliable agents on the edge.

We have extended pretraining from 10T to 28T tokens and significantly scaled up our post-training pipeline with reinforcement learning, pushing the boundaries of what 1B models can achieve. This is a comprehensive release with Base, Instruct, Japanese, Vision-Language, and Audio-Language models. LFM2.5 is optimized for instruction following capabilities to be the building block of on-device agentic AI.

LFM2.5 enables access to private, fast, and always-on intelligence on any device. Our new Text models offer uncompromised quality for high-performance on-device workflows. The Audio model is 8x faster than its predecessor, running natively on constrained hardware like vehicles, mobiles, and IoT devices. Finally, our VLM delivers robust image comprehension for tasks like object detection and multi-image reasoning. All models are open-weight and available on Hugging Face and LEAP.