# Lightweight VLM

A vision-language model specialized in describing anime-style images, fine-tuned based on SmolVLM-500M-Base

A vision-language model specialized in describing anime-style images, fine-tuned from SmolVLM-500M-Base, trained on 180K synthetic image/caption pairs generated by large language models.

granite-vision-3.2-2b is a compact and efficient vision-language model specifically designed for visual document understanding, capable of automatically extracting content from tables, charts, infographics, and more.

PaliGemma is a 3B-parameter lightweight vision-language model developed by Google, built upon SigLIP vision model and Gemma language model, supporting image and text inputs to generate text outputs.

PaliGemma is a lightweight and versatile vision-language model built on the SigLIP vision model and Gemma language model, supporting multilingual image-text interaction tasks.

PaliGemma is a versatile lightweight vision-language model (VLM) that supports image and text inputs and generates text outputs. It has multilingual capabilities.

PaliGemma is a versatile lightweight vision-language model (VLM) built upon the SigLIP vision model and Gemma language model, supporting image and text inputs to generate text outputs

PaliGemma is a lightweight vision-language model developed by Google, built on the SigLIP vision model and the Gemma language model, supporting multilingual image-text understanding and generation.

PaliGemma is a lightweight vision-language model developed by Google, built upon the SigLIP vision model and Gemma language model, supporting multilingual text generation and visual understanding tasks.

PaliGemma is a versatile, lightweight vision-language model (VLM) built upon the SigLIP vision model and Gemma language model, supporting image and text inputs with text outputs.

PaliGemma is a versatile lightweight vision-language model (VLM) built upon SigLIP vision model and Gemma language model, capable of processing both image and text inputs to generate text outputs.

PaliGemma is a lightweight vision-language model developed by Google, combining image understanding and text generation capabilities, supporting multilingual tasks.

PaliGemma is a versatile lightweight vision-language model (VLM) developed by Google, built on the SigLIP vision model and Gemma language model, supporting both image and text inputs with text outputs.