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LOCAL AI GUIDE · IBM

Granite 4.2 · 8B

A current IBM text model for summarizing, extracting information, and explaining code.

  • 4 min read
  • ~16 GB RAM to start
  • 5.3 GB download

Try Granite 4.2 for practical text work with material you provide, especially summaries and structured extraction.

Where it works well

  • Summarization and information extraction.
  • Multilingual text and code-related tasks.
  • Structured JSON and optional thinking.

Common use cases

  • Extract a to-do list from meeting notes.
  • Classify a batch of short messages.
  • Explain a function with example inputs.

Know its limits

  • This listing is text-only; use a vision model for screenshots.
  • Valid-looking JSON or code still needs validation.

Run it on your computer

Start with a compressed download and a short conversation. Our estimate is about 16 GB of total RAM or Mac unified memory, with room for the operating system. The listed 5.3 GB download is the model file, not its full running memory use.

Check the model’s supported runtime and hardware before loading it. System RAM on a PC and unified memory on a Mac are different from dedicated NVIDIA VRAM. A memory match doesn’t guarantee compatibility or speed. Choose a smaller model if responses are too slow.

Use a desktop app that supports the listed model format, such as LM Studio or Ollama. Download the exact local variant, load it in Chat, and start with one small task. Model downloads need internet; local chat can work offline once the model is downloaded.

Official model information

Model capabilities checked October 2026. The use cases above are practical starting suggestions, not performance guarantees.

Keep exploringFind another local modelCompare models by memory and the tasks you want to do.

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