Paket: llama.cpp (8064+dfsg-2 und andere)

[ Quellcode: llama.cpp  ]

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.

Andere Pakete mit Bezug zu llama.cpp

• dep: libc6.1 (>= 2.38) [alpha]

  GNU-C-Bibliothek: Laufzeitbibliotheken
  auch ein virtuelles Paket, bereitgestellt durch libc6.1-udeb

• dep: libcurl4t64 (>= 7.16.2) [alpha]

  Einfach nutzbare Client-Bibliothek für URL-Übertragungen (OpenSSL-Variante)

• dep: libgcc-s1 (>= 3.4) [alpha]

  GCC Support-Bibliothek

• dep: libggml-cpu (<< 0.0~git20250713) [alpha]

  Tensor library for machine learning - CPU backend

  oder libggml-backend (<< 0.0~git20250713)

  Paket nicht verfügbar

  dep: libggml-cpu (>= 0.0~git20250712) [alpha]

  oder libggml-backend (>= 0.0~git20250712)

• dep: libstdc++6 (>= 14) [alpha]

  GNU-Implementierung der Standard-C++-Bibliothek (Version 3)

• dep: llama.cpp-tools [all]

  LLM inference in C/C++ - main utilities

• dep: python3 [alpha]

  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

llama.cpp herunterladen

Download für alle verfügbaren Architekturen

Architektur	Version	Paketgröße	Größe (installiert)	Dateien
all	8064+dfsg-2	8,0 kB	22,0 kB	[Liste der Dateien]
alpha (inoffizielle Portierung)	5882+dfsg-2	7.704,8 kB	67.836,0 kB	[Liste der Dateien]