Directory / LLM API / LFM3 (Liquid AI)
LFM3 (Liquid AI)
Liquid AI's family of six open-weight 2B-class models (text, vision, audio, omni and two 'decision' models) on one shared backbone, built to run on phones and laptops and to be fine-tuned on a single GPU. The text model has a 256K context and native tool calling and fits in about 1 GB at 4-bit.
💲 Open weights on Hugging Face under the LFM Open License v1.0 (check its terms for commercial use). Also on the Liquid AI API and OpenRouter; API pricing not verified. Source: docs.liquid.ai (checked Oct 28, 2026).
Pros & cons
👍 Pros
- Runs on-device; GGUF, MLX and ONNX builds on day one
- One backbone for text, vision, audio and omni
- Fine-tunes on a single GPU
👎 Cons
- Too small for agentic coding or complex reasoning (per Liquid's docs)
- Custom license rather than Apache/MIT
Latest release
LFM3 launch
Released six 2B-class open-weight models; LFM3-1.7B beats the older LFM2.5-2.6B with 35% fewer parameters. Available on Hugging Face, the Liquid API and launch partners including OpenRouter and Vercel. Source ↗
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