This is the Windows app named MiniMind-V whose latest release can be downloaded as MiniMind-VDocssourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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MiniMind-V
DESCRIPTION
MiniMind-V is an experimental open-source project that aims to train a very small multimodal vision–language model (VLM) from scratch with extremely low compute and cost, making research and experimentation accessible to more people. The repository showcases training workflows and code designed to produce a 26-million parameter model—including both image and text capabilities—using minimal resources in very little time, reflecting a trend toward democratizing AI research. MiniMind-V combines techniques from modern vision-language modeling but focuses on efficiency and simplicity so that individuals or small teams can explore multimodal learning without massive GPU clusters. It includes training scripts, model definitions, and associated tooling that illustrate how to build and evaluate such lightweight models. While not intended to compete with large production models, it serves as a hands-on educational resource and starting point for experimentation.
Features
- Vision-language model training code
- Designed for very low training cost and compute
- Multimodal architecture covering image + text
- Educational resource for lightweight AI development
- Scripts and configs for model training and evaluation
- Emphasis on accessible research experimentation
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/minimind-v.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
