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MLC LLM

MLC LLM is a machine learning compiler and deployment engine that enables high-performance LLM inference across platforms using compilation and runtime optimizations.

Overview

MLC LLM is a compiler-driven deployment engine for large language models. It compiles and runs models efficiently on a wide range of platforms, including servers, browsers, and mobile devices.

Key features

  • Cross-platform backends (CUDA, Vulkan, Metal, WebGPU) and mobile support.
  • Compiler optimizations that produce efficient model execution code and runtime scheduling.
  • OpenAI-compatible APIs and SDKs for Python, JavaScript, and mobile platforms.

Use cases

  • Deploying LLM services across heterogeneous hardware to improve throughput and latency.
  • Running LLMs in-browser or on mobile devices for low-latency edge applications.

Technical notes

  • MLCEngine unifies compilation and runtime, offering extensible backends and deployment tooling; follow the documentation at https://llm.mlc.ai/docs/ for build and integration steps.

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MLC LLM
Resource Info
Author MLC AI
Added Date 2025-09-27
Tags
OSS Deployment