Gollama download for Windows

This is the Windows app named Gollama whose latest release can be downloaded as gollama-linux-amd64.zip. It can be run online in the free hosting provider OnWorks for workstations.

 
 

Download and run online this app named Gollama with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

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- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 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:


Gollama


DESCRIPTION:

Gollama is a macOS and Linux tool for managing Ollama models through an interactive terminal-based interface. It provides a TUI that lets users list, inspect, sort, filter, edit, run, unload, copy, rename, delete, and push models from one place rather than relying entirely on manual command-line workflows. The project is aimed at developers and local AI users who frequently work with multiple Ollama models and want a more efficient operational layer for everyday maintenance. Beyond standard model management, Gollama can display metadata such as size, quantization level, model family, and modification date, which helps users compare models quickly. One of its more distinctive capabilities is a VRAM estimation system that can calculate memory requirements, estimate context limits, and help users choose quantization settings that fit available hardware.



Features

  • Interactive TUI for model management
  • Sorting and filtering across model metadata
  • Modelfile editing with external editor support
  • Run and unload operations for models
  • Copy, rename, delete, and registry push actions
  • VRAM estimation for memory and context planning


Programming Language

Go


Categories

Large Language Models (LLM)

This is an application that can also be fetched from https://sourceforge.net/projects/gollama.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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