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Harbor LLM Toolkit vs LMDeploy

A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
HA Harbor LLM Toolkit Containerized LLM toolkit to run a local AI stack with one CLI VS LM LMDeploy Toolkit for compressing and serving large language models
FeatureHarbor LLM ToolkitLMDeploy
CategoryLocal LLM RunnersLocal LLM Runners
LicenseApache-2.0Apache-2.0
LanguagePythonPython
Setup difficultyEasyHard
Min. RAM8,192 MB16,384 MB
Deploymentdockerdocker, source
GitHub stars★ 3,158★ 7,998
First released20242023
ReplacesOpenAI PlatformOpenAI API, Hugging Face Inference Endpoints

Why pick each one

Choose Harbor LLM Toolkit if…

  • Released under the Apache-2.0 license
  • Easy to set up — beginner-friendly
  • First-class Docker support for quick deployment
  • Active community (3.2k GitHub stars)
Harbor LLM Toolkit details

Choose LMDeploy if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Mature project with 8k GitHub stars
  • Written in Python
LMDeploy details

Frequently asked questions

Is Harbor LLM Toolkit or LMDeploy better?

Neither is universally better. LMDeploy has the larger community, while Harbor LLM Toolkit is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.

Are Harbor LLM Toolkit and LMDeploy free and open-source?

Yes. Harbor LLM Toolkit is licensed under Apache-2.0 and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.

Can I run Harbor LLM Toolkit and LMDeploy with Docker?

Harbor LLM Toolkit: yes. LMDeploy: yes.

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