Pakket: libllama0 (5882+dfsg-4)

Verwijzigingen voor libllama0

Debian bronnen:

Het bronpakket llama.cpp downloaden:

Beheerders:

Externe bronnen:

Homepage [github.com]

Vergelijkbare pakketten:

LLM inference in C/C++ - libraries

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 the libllama and libmtmd libraries. Note that these libraries are not yet stable, so they are installed to private directories for now.

Andere aan libllama0 gerelateerde pakketten

depends

recommends

suggests

enhances

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

GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb

dep: libc6 (>= 2.41) [loong64]
dep: libgcc-s1 (>= 3.0) [niet ppc64, riscv64]

GCC support bibliotheek

dep: libgcc-s1 (>= 3.4.4) [ppc64]

dep: libgcc-s1 (>= 4.3) [riscv64]
dep: libggml0 (>= 0.0~git20250712.d62df60)

Tensor library for machine learning - libraries
dep: libggml0-backend-cpu (<< 0.0~git20250713)

Tensor library for machine learning - CPU backend

dep: libggml0-backend-cpu (>= 0.0~git20250712)
dep: libstdc++6 (>= 11)

GNU Standard C++ Library v3

libllama0 downloaden

Pakket downloaden voor alle beschikbare platforms
Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
amd64	779,1 kB	2.709,0 kB	[overzicht]
arm64	670,7 kB	2.536,0 kB	[overzicht]
loong64 (unofficial port)	684,9 kB	2.471,0 kB	[overzicht]
ppc64 (unofficial port)	729,4 kB	3.048,0 kB	[overzicht]
ppc64el	750,6 kB	2.920,0 kB	[overzicht]
riscv64	703,0 kB	1.924,0 kB	[overzicht]
s390x	734,2 kB	2.628,0 kB	[overzicht]