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Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'
Liquid AI, founded by former MIT computer scientists, today released its smallest AI language model yet, LFM2.5-230M , and enterprises would do well to consider it for their uses in data extraction and local deployment on smartphones…
AI Summary
Liquid AI released its smallest language model yet, LFM2.5‑230M, a 230‑million‑parameter foundation model built for on‑device agentic workflows. The company says the model’s small size allows it to run on smartphones, laptops, and robotics. In benchmark tests, LFM2.5‑230M outperformed larger models, beating the 800‑million‑parameter Alibaba Qwen3.5‑0.8B (Instruct) and the 1‑billion‑parameter Google Gemma 3 1B on data‑extraction tasks. Liquid AI encourages enterprises to consider the model for data extraction and local deployment.
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