llama.cpp is the most famous local LLM inference engine: pure C/C++ with minimal resource usage, running GGUF models (Llama, Qwen, DeepSeek) on ordinary CPUs, Macs, Raspberry Pis, It is listed on hedirbase, a curated directory of AI tools, developer resources, and direct-to-consumer brands for the independent workforce.

What category does llama.cpp belong to?

llama.cpp is listed under the Developer Tools category on hedirbase.com.

Where can I visit llama.cpp?

You can visit llama.cpp at its official website: https://github.com/ggml-org/llama.cpp.

Is llama.cpp open source?

Yes, llama.cpp is open source. Its source code is available on GitHub: https://github.com/ggml-org/llama.cpp.

What are similar tools or brands to llama.cpp?

Similar listings in the same Developer Tools category include: Hugging Face, GitHub, Comet, Opik. Browse the category page on hedirbase.com for more options.

Developer Tools

llama.cpp

🇨🇳 中文 / 🇬🇧 English — 双语介绍

🔗 https://github.com/ggml-org/llama.cpp

🇨🇳 中文

llama.cpp 是最著名的本地 LLM 推理引擎：纯 C/C++ 实现，资源占用极低，让 Llama、Qwen、DeepSeek 等 GGUF 格式模型在普通 CPU、Mac、树莓派甚至手机上流畅运行，是端侧 AI 与离线推理的事实标准。支持 GPU 加速、量化、OpenAI 兼容服务端，本地 AI 玩家的第一站。 🔗 文章: /post/llama-cpp-guide-2026-complete-tutorial-to-run-llms-on-any-hardware-20260723 | GitHub Stars: 123k+

🇬🇧 English

llama.cpp is the most famous local LLM inference engine: pure C/C++ with minimal resource usage, running GGUF models (Llama, Qwen, DeepSeek) on ordinary CPUs, Macs, Raspberry Pis, even phones — the de-facto standard for on-device and offline inference. GPU acceleration, quantization, and an OpenAI-compatible server make it the first stop for local AI. 🔗 Article: /post/llama-cpp-guide-2026-complete-tutorial-to-run-llms-on-any-hardware-20260723 | GitHub Stars: 123k+