# Lightweight Vision-Language

nanoVLM is a lightweight vision-language model (VLM) designed for efficient training and experimentation.

nanoVLM is a lightweight vision-language model (VLM) designed for efficient training and experimentation.

nanoVLM is an ultra-minimalist lightweight vision-language model (VLM) designed for efficient training and experimentation.

SmolVLM2-2.2B-Instruct is a 2.2B parameter vision-language model focused on video-text-to-text tasks, supporting English.

R1-VL-2B is a vision-language reasoning model trained through Stepwise Group Relative Policy Optimization (StepGRPO), optimized based on Qwen2-VL-2B-Instruct.

Moondream is a lightweight vision-language model designed for efficient operation across all platforms.