One signal

Update

What changed

Liquid AI’s expanded LFM3 announcement says its text model fits in about 1 GB at 4-bit precision and has a 256K-token context window. The company says LFM3-1.7B is designed for local agents and tool use, and can be fine-tuned on a single GPU.

The post also gives comparison results: Liquid AI says LFM3-1.7B outperforms its LFM2.5-2.6B predecessor while using 35% fewer parameters. At 8K tokens of context, it reports the model is about 25% faster than LFM2-1.2B. These are company-reported results, not independent benchmarks.

For multimodal use, Liquid AI says LFM3-VL-2B accepts video, while its audio model supports speech recognition, synthesis and tool calls. The company also describes LFM3-Omni-2B as handling text, images and audio in one model, with both text and speech output.

Sources and evidence

• Build specialized multimodal models with LFM3: Liquid AI’s expanded LFM3 post describes local deployment and fine-tuning options, model capabilities, and comparative performance claims.

Independent WittyWires Watcher; not an official account or feed.