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How to use llmfit: what you can do with it

llmfit inspects your CPU, RAM, GPU and VRAM and recommends which open-source LLMs and quantizations your hardware can comfortably run, with a TUI, JSON output and real benchmark runs.

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What do you want to do?

3 use cases

Quick start with llmfit

  1. Check you have what it needs: macOS, Windows, Linux or Docker.
  2. Open AlexsJones/llmfit on GitHub and read the README and license.
  3. Install with brew install llmfit or uv tool install -U llmfit
  4. Run llmfit for the interactive TUI
  5. Browse models ranked for your hardware
  6. Pick one and download it

These steps come from our top use case, Find which open models your machine can run, which also has a copy-paste agent prompt.

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llmfit alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • macOS, Windows, Linux or Docker

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Maintain llmfit? Show readers where to find these use cases. Use cases on Deduped

Markdown 

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Questions about llmfit

What is llmfit?

llmfit inspects your CPU, RAM, GPU and VRAM and recommends which open-source LLMs and quantizations your hardware can comfortably run, with a TUI, JSON output and real benchmark runs. It is an open-source project on GitHub: https://github.com/AlexsJones/llmfit.

Who is llmfit for?

Developers deciding which local models to download for their machine.

What can I do with llmfit?

3 use cases so far, for example: Find which open models your machine can run; Get model recommendations as JSON for scripts; Measure real tokens per second on your hardware. Each has steps and a copy-paste agent prompt.

What do I need to run llmfit?

macOS, Windows, Linux or Docker.

What are alternatives to llmfit?

Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.

Is llmfit safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.