Liquid AI has launched the LFM2.5-350M, an enhanced version of its 350M model, featuring 28 trillion tokens of pre-training and improved performance in data extraction and tool use. The model runs efficiently on various hardware, making it suitable for large-scale data pipelines and edge deployments.

• Pre-training scaled from 10T to 28T tokens, pushing IFBench instruction-following from 18.20 to 40.69 and CaseReportBench data extraction from 11.67 to 32.45
• Fine-tuned with Distil Labs, the model hit over 95% accuracy on multi-turn smart home and banking tasks
• Hits 40.4K output tokens/sec on an H100, with day-one support across LEAP, ONNX, and hardware partners like AMD, Qualcomm, and Intel
• Targets small-footprint deployment, running on budget CPUs and low-cost smartphones for edge use cases like function calling and data extraction