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RamaLama download for Windows

Free download RamaLama Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named RamaLama whose latest release can be downloaded as v0.16.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

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

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 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

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RamaLama


DESCRIPTION

RamaLama is an open-source developer tool that simplifies working with and serving AI models locally or in production by leveraging container technologies like Docker, Podman, and OCI registries, allowing AI inference workflows to be treated like standard container deployments. It abstracts away much of the complexity of configuring AI runtimes, dependencies, and hardware optimizations by detecting available GPUs (or falling back to CPU) and automatically pulling a container image pre-configured for the detected hardware environment. Developers can use familiar container commands to pull, run, and interact with AI models from any source, treating models similarly to how container images are handled in OCI workflows. RamaLama supports multiple model registries and offers a REST API or chatbot interface for interacting with running models, making it flexible for local development, testing, or integration into larger systems.



Features

  • AI model serving via containers
  • Automatic GPU detection and optimized image selection
  • Support for OCI model registries
  • Run and interact with models via REST or chat
  • Rootless container execution for security
  • Familiar container CLI experience for AI workflows


Programming Language

Python


Categories

LLM Inference

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