Package: llama.cpp (5882+dfsg-3 and others)

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Homepage [github.com]

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LLM inference in C/C++ - metapackage

The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.

 * Plain C/C++ implementation without any dependencies
 * Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate
   and Metal frameworks
 * AVX, AVX2, AVX512 and AMX support for x86 architectures
 * 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization
   for faster inference and reduced memory use
 * Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs
   via HIP and Moore Threads MTT GPUs via MUSA)
 * Vulkan and SYCL backend support
 * CPU+GPU hybrid inference to partially accelerate models larger than the
   total VRAM capacity

The compute functionality is provided by ggml. By default, ggml's CPU backend is installed, but there are many other backends for CPUs and GPUs.

This is a meta-package that either depends on all of the relevant binary packages.

Other Packages Related to llama.cpp

depends

recommends

suggests

enhances

dep: libc6 (>= 2.38) [sparc64]

GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
dep: libc6.1 (>= 2.38) [alpha]

GNU C Library: Shared libraries
also a virtual package provided by libc6.1-udeb
dep: libcurl4t64 (>= 7.16.2) [not all]

easy-to-use client-side URL transfer library (OpenSSL flavour)
dep: libgcc-s1 (>= 3.4) [alpha]

GCC support library

dep: libgcc-s1 (>= 4.3) [sparc64]
dep: libggml-cpu (<< 0.0~git20250713) [not all]

Tensor library for machine learning - CPU backend

or libggml-backend (<< 0.0~git20250713)

Package not available

dep: libggml-cpu (>= 0.0~git20250712) [not all]

or libggml-backend (>= 0.0~git20250712)
dep: libstdc++6 (>= 14) [not all]

GNU Standard C++ Library v3
dep: llama.cpp-tools [all]

LLM inference in C/C++ - main utilities
dep: python3 [not all]

interactive high-level object-oriented language (default python3 version)

rec: llama.cpp-tools-extra

LLM inference in C/C++ - extra utilities
rec: python3-gguf

Python library for working with GGUF files

sug: llama.cpp-examples

LLM inference in C/C++ - example programs

Download llama.cpp

Download for all available architectures
Architecture	Version	Package Size	Installed Size	Files
all	5882+dfsg-3	6.7 kB	21.0 kB	[list of files]
alpha (unofficial port)	5882+dfsg-2	7,704.8 kB	67,836.0 kB	[list of files]
sparc64 (unofficial port)	5882+dfsg-2	6,809.5 kB	101,618.0 kB	[list of files]