Liquid AI releases LFM3, six open-weight 2B models
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The available text is only the headline; licenses, benchmarks, and release details are not included.
The repo adds a QAD Q4_0 file meant to recover accuracy lost to Q4_0 quantization.
The post-trained text model uses a 256K context, about 1 GB at 4-bit, and the LFM Open License v1.0.
The 2.17B checkpoint accepts text, images, video and 16 kHz audio, and can reply with text, 24 kHz speech, or both.
The 1.92B model takes text, images, and video, reasons step by step, and uses the LFM Open License v1.0.
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