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

Model: https://huggingface.co/qnguyen3/nanoLLaVA 🔍
Spaces: https://huggingface.co/spaces/qnguyen3/nanoLLaVA (thanks to @merve)

Under the hood, nanoLLaVA is based on the powerful https://huggingface.co/vilm/Quyen-SE-v0.1 (my Qwen1.5-0.5B finetune) and Google's impressive https://huggingface.co/google/siglip-so400m-patch14-384. 🧠 The model is trained using a data-centric approach to ensure optimal performance. 📊

In the spirit of transparency and collaboration, all code and model weights are open-sourced under the Apache 2.0 license. 🤝

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Cristian Gutiérrez
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