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Liquid AI introduces LFM3 open-weight models for specialized multimodal intelligence

Build specialized multimodal models with LFM3

Who
Liquid AI
What
released the LFM3 family of open-weight models
When
Quote
All LFM3 models are open-weight and available on Hugging Face today:

What happened

Liquid AI releases LFM3, six open-weight models in the 2B parameter range covering text, vision, audio, omni, and calibrated decisions on a shared backbone. The company says every model supports single-GPU fine-tuning, while the text model offers a 256K context window and fits in about 1 GB at 4-bit precision. All models are available on Hugging Face today, alongside inference examples and fine-tuning notebooks.

Why it matters

The shared backbone and single-GPU fine-tuning examples offer a concrete approach to adapting compact models for specialized tasks across text, vision, audio, and combined inputs.

Read next

See the full storyLiquid AI Releases Six Open-Weight LFM3 Models, With Local Access Through Ollama

The story so far

Liquid AI has released LFM3, a family of six open-weight models in the 2B parameter range available on Hugging Face, and Ollama has made LFM3 available to run locally. The family shares a backbone and covers text, vision, audio, omni and calibrated decision tasks; the Hugging Face release includes inference examples and fine-tuning notebooks. Liquid AI says every model supports fine-tuning on a single GPU. Its text model has a 256K context window and, according to the company, fits in about 1 GB at 4-bit precision.

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