Paket: llama.cpp-tests (5882+dfsg-3)

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LLM inference in C/C++ - tests

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 package contains all of the test binaries, mainly for autopkgtests.

Andra paket besläktade med llama.cpp-tests

beror

rekommenderar

föreslår

enhances

dep: libc6 (>= 2.38)

GNU C-bibliotek: Delade bibliotek
också ett virtuellt paket som tillhandahålls av libc6-udeb
dep: libcurl4t64 (>= 7.16.2)

easy-to-use client-side URL transfer library (OpenSSL flavour)
dep: libgcc-s1 (>= 3.0) [ej ppc64el, riscv64]

GCC stödbibliotek

dep: libgcc-s1 (>= 3.4) [riscv64]

dep: libgcc-s1 (>= 3.4.4) [ppc64el]
dep: libggml0 (>= 0.0~git20250712.d62df60)

Tensor library for machine learning - libraries
dep: libllama0 (= 5882+dfsg-3)

LLM inference in C/C++ - libraries
dep: libstdc++6 (>= 14)

GNU standardbibliotek v3 för C++

Hämta llama.cpp-tests

Hämtningar för alla tillgängliga arkitekturer
Arkitektur	Paketstorlek	Installerad storlek	Filer
amd64	1.438,7 kbyte	9.817,0 kbyte	[filförteckning]
arm64	1.273,8 kbyte	9.897,0 kbyte	[filförteckning]
ppc64el	1.450,9 kbyte	11.625,0 kbyte	[filförteckning]
riscv64	1.504,4 kbyte	8.225,0 kbyte	[filförteckning]
s390x	1.329,7 kbyte	10.061,0 kbyte	[filförteckning]