LFM2.5-VL-1.6B-GGUF is a quantized GGUF version of Liquid AI's 1.6 billion parameter vision-language foundation model. It supports multimodal inputs including images and text, with a chat template optimized for local execution using tools like llama.cpp. Designed for efficient on-device or local server inference without requiring high-end GPUs.
LFM2.5 VL 1.6B is a Multimodal & vision project. It focuses on running efficient multimodal (vision + language) inference locally on consumer hardware. It is built as an open-source project for developers building local multimodal AI applications. The project is open source (MIT). It ships for the web, the command line, and API.
It is developed by Liquid AI, and it first shipped in 2023. Development happens publicly on GitHub with 121.2k stars and 1.2k commits in the last 90 days. Among its 3 catalogued features are Vision-Language Model, GGUF Quantized, and Multimodal Chat. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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