3 articles
Liquid AI just rolled out its LFM2.5 lineup—compact AI models with around 1 billion parameters that run directly on your device and punch well above their weight in benchmark tests.
Liquid AI rolled out its reinforcement-learning enhanced LFM2-2.6B-Exp model, showing notable improvements in instruction following, knowledge tasks, and math evaluations compared to other 3B-parameter AI models.
Liquid AI introduced its new LFM2 model family, delivering up to 2× faster CPU performance for prefill and decode tasks. Benchmark charts show strong efficiency gains across parameter ranges from 350M to 8B.
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Saad Ullah
Peter Smith
