---

language: en license: mit library_name: nanovlm tags:

• vision-language
• multimodal
• smollm2
• siglip

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nanoVLM - albertfares/nanoVLM-222M

This is a nano Vision-Language Model (nanoVLM) trained as part of the COM-304 course.

Model Description

The model consists of three main components:

• Vision Backbone: Pretrained google/siglip-base-patch16-224
• Language Model: Pretrained HuggingFaceTB/SmolLM2-135M
• Modality Projector: A learnable linear layer with Pixel Shuffle reduction.

Usage

You can load this model using the VisionLanguageModel class from the nanovlm repository.

from models.vision_language_model import VisionLanguageModel
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"
model = VisionLanguageModel.from_pretrained("albertfares/nanoVLM-222M").to(device)