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nanoVLM-222M
GDEPFL/nanoVLM-222M
nanoVLM-222M is a machine learning model from GDEPFL. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for nanovlm. The card lists the license as mit.
This is a nano Vision-Language Model (nanoVLM) trained as part of the COM-304 course.
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At a glance
- Library
- nanovlm
- License
- mit
- Access
- Public
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- 209e7cc7
Model card
From the Hugging Face model README
nanoVLM - GDEPFL/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("GDEPFL/nanoVLM-222M").to(device)
- Library
- nanovlm
- License
- mit
- Languages
- en
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026