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Framework

MLC LLM

MLC LLM is an open-source AI framework, launched in 2023, made for developers.

A compiler and engine that deploys LLMs natively on GPUs, phones and in the browser.

Main jobs: Model serving, Run models locally. It is open source and free to use. You can use it in the browser, as a desktop app, on phones, in the terminal, through an API, on your own server and offline on your own machine.

Visit llm.mlc.ai

Markdown version of https://godooo.ai/en/framework/mlc-llm. Every page on this site has one: add .md to its address.

At a glance

Launched
2023
Open source
Yes · Apache-2.0
GitHub stars
23,185
How you run it
Web · Desktop · Mobile · Terminal · API · Self-host · Runs offline
Made for
Developers
Website
llm.mlc.ai
Also known as
MLCEngine

What it can do

  • Model servingmain jobunconfirmed

    “MLCEngine -- a unified high-performance LLM inference engine across the above platforms”— github.com, 2026-09-24
  • Run models locallymain jobunconfirmed

    “enable everyone to develop, optimize, and deploy AI models natively on everyone's platforms”— github.com, 2026-09-24
  • LLM APIsupportedunconfirmed

    “MLCEngine provides OpenAI-compatible API available through REST server, python, javascript, iOS, Android”— github.com, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Used to build
WebLLM

Questions

What is MLC LLM?

MLC LLM is an open-source AI framework, launched in 2023, made for developers. A compiler and engine that deploys LLMs natively on GPUs, phones and in the browser.

Is MLC LLM free?

Yes. MLC LLM is open source (Apache-2.0) and free to use.

Is MLC LLM open source?

Yes, under the Apache-2.0 license. The source code is at https://github.com/mlc-ai/mlc-llm.

Can MLC LLM run locally?

Yes. MLC LLM can run offline on your own machine. It can also be self-hosted on your own server.

What can MLC LLM do?

Main jobs: Model serving, Run models locally. It can also do: LLM API.

What are open-source alternatives to MLC LLM?

Open-source ones: llama.cpp, LocalAI, exo, Ollama, WebLLM, LMDeploy, Gemma and vLLM. Others: LM Studio.

Sources