llama.cpp

ai_coding、automation

来源： admin_cms · cms editor · 2026/8/21

{"en":"This project serves as a foundation for running LLMs locally, implemented in pure C/C++ with minimal dependencies. It is suitable for developers deploying models on consumer hardware or edge devices.","zh":"该项目是本地运行大模型的基石，通过纯 C/C++ 实现，几乎不依赖外部库。适合需要将模型部署在消费级硬件或边缘设备上的开发者。"}

来源： admin_cms · cms editor · 2026/8/21

{"steps":[{"en":"Install llama.cpp by building from source or downloading pre-built binaries.","zh":"通过源码编译或下载预构建二进制文件安装 llama.cpp。"},{"en":"Run a GGUF model from Hugging Face using the CLI tool.","zh":"使用命令行工具运行 Hugging Face 上的 GGUF 模型。"},{"en":"Launch the built-in server to provide an OpenAI-compatible API interface.","zh":"启动内置服务器以提供 OpenAI 兼容的 API 接口。"}],"installAt":"local","difficulty":"medium"}

来源： admin_cms · cms editor · 2026/8/21

{"en":"llama.cpp is a high-performance inference engine for LLMs and VLMs, designed to run models on diverse hardware with minimal setup. Built on the ggml library, it achieves efficient performance through deep optimizations for specific architectures, including Metal for Apple Silicon and CUDA for NVIDIA GPUs.\n\nThe project supports various quantization techniques to reduce memory footprint and increase inference speed. Users can run models directly via CLI tools or launch the built-in HTTP server for integration into existing applications.","zh":"llama.cpp 是一个高性能的 LLM 和 VLM 推理引擎，通过极简的设置在各类硬件上运行大模型。它基于 ggml 库构建，通过针对不同架构（如 Apple Silicon 的 Metal、NVIDIA 的 CUDA）的深度优化，实现了高效的推理性能。\n\n该项目支持多种量化技术，能减少内存占用并提升推理速度。用户可以通过命令行工具直接运行模型，或启动内置的 HTTP 服务以集成到现有应用中。"}

来源： admin_cms · cms editor · 2026/8/21

b10507

来源： GitHub 官方接口 · latest_release=b10507 · 2026/8/20

MIT

来源： GitHub 官方接口 · license.spdx_id=MIT · 2026/8/20

否

来源： admin_cms · cms editor · 2026/8/21

{"en":"A lightweight LLM inference engine implemented in C/C++, supporting various hardware backends and model quantization.","zh":"基于 C/C++ 实现的轻量级大语言模型推理引擎，支持多种硬件加速与模型量化。"}

来源： admin_cms · cms editor · 2026/8/21

windows、macos、linux、android、browser

来源： admin_cms · cms editor · 2026/8/21

ai-apps

来源： 项目说明文档 · hint=ai-apps · 2026/8/20

cli、library_framework

来源： admin_cms · cms editor · 2026/8/21

backend、devops

来源： admin_cms · cms editor · 2026/8/21

是

来源： admin_cms · cms editor · 2026/8/21

是

来源： admin_cms · cms editor · 2026/8/21

是

来源： admin_cms · cms editor · 2026/8/21