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Nanovlm 450M
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Nanovlm 450M

Developed by lusxvr
nanoVLM is a lightweight vision-language model (VLM) designed for efficient training and experimentation.
Image-to-Text
Safetensors
Open Source License:MIT#Lightweight Vision-Language#Efficient Training#Compact Parameters
Downloads 339
Release Time : 6/2/2025

Model Overview

nanoVLM combines a ViT-based image encoder with a lightweight causal language model to form a compact vision-language model suitable for rapid experimentation and efficient training.

Model Features

Lightweight Design
The entire model architecture and training logic consist of only about 750 lines of code, making it easy to understand and modify.
Compact Parameters
After combining the image encoder and the language model, it has only 222 million parameters, suitable for rapid experimentation.
Efficient Training
Designed for efficient training, it can complete experiments in a short time.

Model Capabilities

Vision-Language Understanding
Multimodal Task Processing
Image-to-Text Generation

Use Cases

Research
Vision-Language Model Experimentation
Used for rapid prototyping and experimentation to validate new vision-language model architectures or training methods.
Education
Model Learning
Serves as an introductory tool for learning vision-language models, facilitating the understanding of model architectures and training processes.
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