Pacote: libllama-dev (8064+dfsg-2 e outros)

[ Fonte: llama.cpp  ]

LLM inference in C/C++ - headers and development files

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 provides the llama.cpp library headers and development files. Note that these libraries are not yet stable, so they are installed to private directories for now.

Outros pacotes relacionados a libllama-dev

• dep: libggml-dev (>= 0.9.6)

  Tensor library for machine learning - development files

• dep: libllama0 (= 8064+dfsg-1) [riscv64]

  LLM inference in C/C++ - libraries

  dep: libllama0 (= 8064+dfsg-2) [não riscv64]

Download de libllama-dev

Baixe para todas as arquiteturas disponíveis

Arquitetura	Versão	Tamanho do pacote	Tamanho instalado	Arquivos
amd64	8064+dfsg-2	29.2 kB	135.0 kB	[lista de arquivos]
arm64	8064+dfsg-2	29.2 kB	135.0 kB	[lista de arquivos]
loong64	8064+dfsg-2	29.2 kB	135.0 kB	[lista de arquivos]
ppc64 (porte não oficial)	8064+dfsg-2	29.2 kB	135.0 kB	[lista de arquivos]
ppc64el	8064+dfsg-2	29.2 kB	135.0 kB	[lista de arquivos]
riscv64	8064+dfsg-1	29.1 kB	135.0 kB	[lista de arquivos]
s390x	8064+dfsg-2	29.2 kB	135.0 kB	[lista de arquivos]