Post
2907
๐ Introducing nanoLLaVA, a powerful multimodal AI model that packs the capabilities of a 1B parameter vision language model into just 5GB of VRAM. ๐ This makes it an ideal choice for edge devices, bringing cutting-edge visual understanding and generation to your devices like never before. ๐ฑ๐ป
Model: qnguyen3/nanoLLaVA ๐
Spaces: qnguyen3/nanoLLaVA (thanks to @merve )
Under the hood, nanoLLaVA is based on the powerful vilm/Quyen-SE-v0.1 (my Qwen1.5-0.5B finetune) and Google's impressive google/siglip-so400m-patch14-384. ๐ง The model is trained using a data-centric approach to ensure optimal performance. ๐
In the spirit of transparency and collaboration, all code and model weights are open-sourced under the Apache 2.0 license. ๐ค
Model: qnguyen3/nanoLLaVA ๐
Spaces: qnguyen3/nanoLLaVA (thanks to @merve )
Under the hood, nanoLLaVA is based on the powerful vilm/Quyen-SE-v0.1 (my Qwen1.5-0.5B finetune) and Google's impressive google/siglip-so400m-patch14-384. ๐ง The model is trained using a data-centric approach to ensure optimal performance. ๐
In the spirit of transparency and collaboration, all code and model weights are open-sourced under the Apache 2.0 license. ๐ค