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Liquid AI
@liquidai
Build efficient general-purpose AI at every scale.
Multi-label classification. One forward pass. Zero completion tokens. We fine-tuned LFM2.5-Encoder-230M and LFM2.5-Encoder-350M to score every label at once: no decoding loop, nothing to parse or repair. First in a new encoder demo series, watch it in action. Check out the- Today we release LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: bidirectional encoders that stay fast at long context, even on CPU. > LFM2.5-Encoder-230M: about 3.7x faster than ModernBERT-base on CPU at 8,192 tokens. Under 30s per forward pass, versus over a minute and a half. >
- In strong support of open-weight AI and American AI leadership, we are proud contributors to the open-source community and excited to announce that Liquid Foundation Models (LFMs) have surpassed 40 million downloads by the community! Going forward, we remain committed to
