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[ 源代码： llama.cpp ]
软件包：llama.cpp-examples（5882+dfsg-3）
LLM inference in C/C++ - example programs
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 utilities that usptream ships as examples.
其他与 llama.cpp-examples 有关的软件包
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- dep: libc6 (>= 2.38) [除 loong64]
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6-udeb
- dep: libc6 (>= 2.41) [loong64]
-
- dep: libcurl4t64 (>= 7.16.2)
- 简单易用的客户端 URL 传输软件库（OpenSSL 变种）
-
- dep: libgcc-s1 (>= 3.0) [除 ppc64, ppc64el]
- GCC 支持库
- dep: libgcc-s1 (>= 3.4.4) [ppc64, ppc64el]
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- dep: libggml0 (>= 0.0~git20250712.d62df60)
- Tensor library for machine learning - libraries
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- dep: libllama0 (>= 5882+dfsg)
- LLM inference in C/C++ - libraries
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- dep: libstdc++6 (>= 14)
- GNU 标准 C++ 库，第3版
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- dep: llama.cpp-tools (= 5882+dfsg-3)
- LLM inference in C/C++ - main utilities