Paketti: llama.cpp-tools-extra (5882+dfsg-4)

Links for llama.cpp-tools-extra

Debian-palvelut:

Imuroi lähdekoodipaketti llama.cpp:

Ylläpitäjät:

External Resources:

Kotisivu [github.com]

Samankaltaisia paketteja:

LLM inference in C/C++ - extra utilities

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 tools that are not already shipped in package llama.cpp-tools.

Muut pakettiin llama.cpp-tools-extra liittyvät paketit

depends

recommends

suggests

enhances

dep: libc6 (>= 2.38) [ei loong64]

GNU-C-kirjasto: jaetut kirjastot
myös näennäispaketti, jonka toteuttaa libc6-udeb

dep: libc6 (>= 2.41) [loong64]
dep: libcurl4t64 (>= 7.16.2)

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

GCC:n apukirjasto

dep: libgcc-s1 (>= 3.4) [riscv64]
dep: libggml0 (>= 0.0~git20250712.d62df60)

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

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

GNU standardi C++ -kirjasto, versio 3
dep: llama.cpp-tools (= 5882+dfsg-4)

LLM inference in C/C++ - main utilities

Imuroi llama.cpp-tools-extra

Imurointi kaikille saataville arkkitehtuureille
Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
amd64	1,563.7 kt	11,665.0 kt	[tiedostoluettelo]
arm64	1,348.6 kt	10,821.0 kt	[tiedostoluettelo]
loong64 (epävirallinen siirros)	1,300.5 kt	10,437.0 kt	[tiedostoluettelo]
ppc64 (epävirallinen siirros)	1,314.6 kt	12,741.0 kt	[tiedostoluettelo]
ppc64el	1,334.7 kt	11,973.0 kt	[tiedostoluettelo]
riscv64	1,520.2 kt	9,077.0 kt	[tiedostoluettelo]
s390x	1,321.9 kt	10,837.0 kt	[tiedostoluettelo]