Пакет: llama.cpp (8064+dfsg-1 и други)

[ Източник: 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.

Други пакети, свързани с llama.cpp

• dep: libc6 (>= 2.38) [sparc64]

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6-udeb

• dep: libc6.1 (>= 2.38) [alpha]

  GNU C Library: Shared libraries
  също и виртуален пакет, предлаган от libc6.1-udeb

• dep: libcurl4t64 (>= 7.16.2) [не 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) [не all]

  Tensor library for machine learning - CPU backend

  или libggml-backend (<< 0.0~git20250713)

  Пакетът не е наличен

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

  или libggml-backend (>= 0.0~git20250712)

• dep: libstdc++6 (>= 14) [не all]

  GNU Standard C++ Library v3

• dep: llama.cpp-tools [all]

  LLM inference in C/C++ - main utilities

• dep: python3 [не 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

Изтегляне на llama.cpp

Изтегляне за всички налични архитектури

Архитектура	Версия	Големина на пакета	Големина след инсталиране	Файлове
all	8064+dfsg-1	7,9 кБ	22,0 кБ	[списък на файловете]
alpha (неофициална архитектура)	5882+dfsg-2	7 704,8 кБ	67 836,0 кБ	[списък на файловете]
sparc64 (неофициална архитектура)	5882+dfsg-2	6 809,5 кБ	101 618,0 кБ	[списък на файловете]