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llama.cpp

llama.cpp• Pinned

llama.cpp: Plain C/C++ implementation for local and cloud LLM and VLM inference.

What problem it solves

Running large language and vision-language models can require substantial setup and may depend on the available hardware. The project aims to make inference accessible across a wide range of local and cloud hardware with minimal setup.

Key features

  • Minimal-setup inference — The project provides installation options for common platforms, including scripts, Docker, pre-built binaries, and source builds. Once installed, models can be downloaded and run directly.

    Source: README, docs/build.md, docs/docker.md

  • Broad hardware support — Inference backends cover CPUs and multiple accelerator types, including NVIDIA, AMD, Apple Silicon, Intel, and generic GPU targets.

    Source: README

  • Quantization options — Multiple integer quantization levels are supported for inference and reduced memory use, with additional FP8 E4M3 support described in the release notes.

    Source: README

  • CPU and GPU hybrid inference — The implementation can partially accelerate models whose size exceeds the available GPU memory by combining CPU and GPU execution.

    Source: README

  • CLI and API server — Users can interact through the command-line client or launch an OpenAI-compatible API server with a built-in web interface.

    Source: README, tools/server/README.md

Quick start

Copied verbatim from the project's README.

# curl
curl -LsSf https://llama.app/install.sh | sh

# powershell
irm https://llama.app/install.ps1 | iex

Who it may suit

This may suit developers and organizations that need to run LLM or VLM inference across local or cloud hardware with control over builds, backends, and deployment interfaces.

Topics to discuss

  • Which backend configuration is most useful for your target hardware?

  • What local workflows should the CLI and API server prioritize?

  • Which quantization formats and model-conversion workflows need improvement?

Written by ReadmeX AI from the project's README, source and public GitHub data; it may contain mistakes.

Read the original README https://github.com/ggml-org/llama.cpp#readme

ReadmeX opened this community for a trending project; it is not run by the project. Maintainers can claim it from the community page.

github.comhttps://github.com/ggml-org/llama.cpp

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