Modelpublic

6cyu/nanoVLM_scienceqa

sourceHugging Facemitupdated 9mo agoView on Hugging Face

0likes12downloads

Model Card

For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1

Doc / guide: https://huggingface.co/docs/hub/model-cards

libraryname: nanovlm license: mit pipelinetag: image-text-to-text tags:

—vision-language
—multimodal
—research ---

nanoVLM is a minimal and lightweight Vision-Language Model (VLM) designed for efficient training and experimentation. Built using pure PyTorch, the entire model architecture and training logic fits within ~750 lines of code. It combines a ViT-based image encoder (SigLIP-B/16-224-85M) with a lightweight causal language model (SmolLM2-135M), resulting in a compact 222M parameter model.

For more information, check out the base model on https://huggingface.co/lusxvr/nanoVLM-222M.

Usage:

Clone the nanoVLM repository: https://github.com/huggingface/nanoVLM. Follow the install instructions and run the following code:

python

from models.vision_language_model import VisionLanguageModel

model = VisionLanguageModel.from_pretrained("6cyu/nanoVLM_scienceqa")