FastVLM
Lightweight open-source vision models for Apple devices
FastVLM launched on May 13, 2025 with 14 votes, #1,114 of 7,905 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
FastVLM is Apple's open-source vision encoder for efficient on-device VLMs. Enables faster processing of high-res images with less compute.
This repository contains the official implementation of "FastVLM: Efficient Vision Encoding for Vision Language Models" - CVPR 2025 - apple-aiml-research/ml-fastvlm
This is the official repository of FastVLM: Efficient Vision Encoding for Vision Language Models . (CVPR 2025) We use LLaVA codebase to train FastVLM variants. In order to train or finetune your own variants, please follow instructions provided in LLaVA codebase. We provide instructions for running inference with our models. conda create -n fastvlm python=3.10 conda activate fastvlm pip install -e . Model Zoo For detailed information on various evaluations, please refer to our paper . To download all the pretrained checkpoints run the command below (note that this might take some time depending on your connection so might be good to grab ☕️ while you wait). bash get_models.sh # Files will…from github.com
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