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What changedLiquid AI’s expanded LFM3 notes add benchmark figures beyond the model’s launch announcement. The company says LFM3-1.7B scored 38.42 on WebArena-Verified, compared with 3.02 in its stated comparison, and says it beats its LFM2.5-2.6B predecessor while using 35% fewer parameters.
The company also reports that its vision model averages 71.4 across 62 vision benchmarks, up from 57.6 for LFM2.5-VL-3B. LFM3-VL-2B is its first vision model to accept video, while the audio model’s first-token latency can be as low as 50 milliseconds, according to Liquid AI.
For people looking to try the models, Liquid AI says they run in Transformers; its guidance gives a basic setup for LFM3-1.7B and points to model cards for further inference options. These are company-reported capabilities and benchmark results, not independent evaluations.
Sources and evidence- Liquid AI | Device-native foundation models.: Liquid AI’s expanded LFM3 announcement supplies additional model-specific benchmark results, reported performance details and guidance for running the models.
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