Пакунок: libllama0 (5882+dfsg-4)

Links for libllama0

Debian Resources:

Download Source Package llama.cpp:

Maintainers:

External Resources:

Homepage [github.com]

Similar packages:

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.

Інші пакунки пов'язані з libllama0

depends

recommends

suggests

enhances

dep: libc6 (>= 2.38) [not loong64]

Бібліотека GNU C: спільні бібліотеки
also a virtual package provided by libc6-udeb

dep: libc6 (>= 2.41) [loong64]
dep: libgcc-s1 (>= 3.0) [not ppc64, riscv64]

Допоміжна бібліотека GCC

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)

Стандартна бібліотека C++ GNU, версії 3

Завантажити libllama0

Завантаження для всіх доступних архітектур
Архітектура	Розмір пакунка	Розмір після встановлення	Файли
amd64	779.1 kB	2,709.0 kB	[список файлів]
arm64	670.7 kB	2,536.0 kB	[список файлів]
loong64 (unofficial port)	684.9 kB	2,471.0 kB	[список файлів]
ppc64 (unofficial port)	729.4 kB	3,048.0 kB	[список файлів]
ppc64el	750.6 kB	2,920.0 kB	[список файлів]
riscv64	703.0 kB	1,924.0 kB	[список файлів]
s390x	734.2 kB	2,628.0 kB	[список файлів]