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AI-Playground - AI Model Serving Tool

Overview

AI-Playground is a model-serving tool that lets you add and install LLMs using Hugging Face model IDs. It includes features such as image resolution scaling for image-capable models. Releases and installers are available on the project's GitHub releases page: https://github.com/intel/AI-Playground/releases.

Key Features

  • Install LLMs using Hugging Face model IDs.
  • Image resolution scaling for image-enabled models.
  • Tools focused on model serving workflows.
  • Release artifacts published on the GitHub releases page.

Ideal Use Cases

  • Prototype and test Hugging Face models quickly.
  • Deploy LLMs for application development and demos.
  • Evaluate image-capable models with adjustable resolution.
  • Add community models into serving pipelines for evaluation.

Getting Started

  • Download the latest release from the GitHub releases page.
  • Unpack the release and run the provided installer or scripts.
  • Provide a Hugging Face model ID to add and install.
  • Configure image resolution scaling if using image models.
  • Start the model serving process following included instructions.

Pricing

No pricing information is provided in the supplied project metadata. Check the GitHub releases page for downloads and licensing details.

Limitations

  • No pricing information disclosed in the provided metadata.
  • Tags and additional metadata are not provided in the tool context.
  • Requires a Hugging Face model ID to add and install models.

Key Information

  • Category: Model Serving
  • Type: AI Model Serving Tool
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