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GLM-4.5V download for Windows

Free download GLM-4.5V Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named GLM-4.5V whose latest release can be downloaded as GLM-Vsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named GLM-4.5V with OnWorks for free.

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- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

SCREENSHOTS

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GLM-4.5V


DESCRIPTION

GLM-4.5V is the preceding iteration in the GLM-V series that laid much of the groundwork for general multimodal reasoning and vision-language understanding. It embodies the design philosophy of mixing visual and textual modalities into a unified model capable of general-purpose reasoning, content understanding, and generation, while already supporting a wide variety of tasks: from image captioning and visual question answering to content recognition, GUI-based agents, video understanding, and long-document interpretation. GLM-4.5V emerged from a training framework that leverages scalable reinforcement learning (with curriculum sampling) to boost performance across tasks ranging from STEM problem solving to long-context reasoning, giving it broad applicability beyond narrow benchmarks. When it was released, it achieved state-of-the-art results on a large collection of public multimodal benchmarks for open-source models.



Features

  • Unified vision-language model: handles both images (or other visual inputs) and text for reasoning and generation
  • Strong general-purpose performance across tasks: VQA, image captioning, content recognition, document & video analysis, GUI interpretation
  • Trained via scalable reinforcement learning with curriculum sampling to improve reasoning, generalization and robustness
  • Good balance of size vs performance — more accessible than heavier models but still competitive on many benchmarks
  • Open-source distribution — free to use, fine-tune, adapt or extend for custom research and applications
  • Suitable for multi-modal applications: content parsing, automated analysis, agentic workflows, and media processing


Programming Language

Python


Categories

AI Models

This is an application that can also be fetched from https://sourceforge.net/projects/glm-4-5v.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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