LFM2-VL-3B is a multimodal vision-language model developed by Liquid AI, built on the LFM2 backbone architecture. It has powerful visual understanding and reasoning capabilities, especially excelling in fine-grained perception tasks. This model can efficiently process text and image inputs and supports native image processing with a resolution of up to 512×512.

MultimodalTransformersMultiple Languages

This is the quantized version of LiquidAI's LFM2-VL-1.6B model, which uses llama.cpp for imatrix quantization processing. It offers multiple quantization levels and can efficiently run vision-language models under different hardware conditions.

MultimodalGguf

The Japanese Receipt Vision-Language Model lfm2-450M is a vision-language model specifically designed for understanding and processing Japanese receipts. It is built on LiquidAI's LFM2-VL-450M base model, capable of analyzing receipt images, extracting structured information, answering questions about the receipt content, and providing detailed descriptions in Japanese and English.

MultimodalTensorboardMultiple Languages