Quick test of Liquid AI's LFM2.5-VL-3B vision model

Melvin Vivas · X post · 2026-08-13 · Open on X

Topics: LLM Fundamentals, Industry Trends & Job Market · Level: beginner

Summary

The creator shares a quick test of LFM2.5-VL-3B, a new lightweight vision-language model from Liquid AI. It points to a small VLM you could try yourself.

Key points

• LFM2.5-VL-3B is a new, small (3B-parameter) vision model from Liquid AI.
• The creator tested it hands-on soon after release.

Resources mentioned

• Liquid AI (@liquidai) on X · website · x.com · free
  An AI company that builds efficient foundation models. The quoted post shows its PII handling working on Japanese text.
  Also in: Zero-Shot Prompt Routing with Liquid AI's LFM 2.5-Encoder-350M (Melvin Vivas on X · notes), Liquid AI LFM 2.5 Encoder: a CPU-friendly encoder model (Melvin Vivas on X · notes), Fine-tuning Liquid AI LFM2/LFM2.5 MoE models with the new Halo framework (Melvin Vivas on X · notes), Liquid AI's LFM2-Longevity models for aging-data analysis (Melvin Vivas on X · notes) and 19 more
• LFM2.5-VL-3B · tool · huggingface.co · free
  Liquid AI's lightweight vision-language model for screen and document understanding, grounding and tool calling.
  Also in: OCR Testing a Small Vision Model with LLM-Made Ground Truth (Melvin Vivas on X · notes), AIBackends 0.4.0: Liquid AI LFM2.5 Models on llama.cpp and Transformers (Melvin Vivas on X · notes), AIBackends Adds Support for LFM2.5-VL-3B (Melvin Vivas on X · notes), Using LFM2.5-VL-3B's Vision Capabilities (Liquid AI Guide) (Melvin Vivas on X · notes) and 1 more