# Lightweight vision

Phi-3.5-vision is a lightweight and advanced open-source multimodal model that supports a 128K context length and focuses on processing high-quality, inference-rich text and visual data.

Hiera is an efficient vision Transformer model designed for image classification tasks, featuring a small parameter count and high computational performance.

A vision Transformer model fine-tuned based on google/vit-base-patch16-224, suitable for image classification tasks

A vision model fine-tuned based on google/vit-base-patch16-224, specific purpose not clearly stated

This model is a fine-tuned version of Google's ViT-base model on the CIFAR-10 dataset, suitable for image classification tasks.

Image classification model based on Vision Transformer architecture, fine-tuned on CIFAR10 dataset