Llama on C++ is here!

Run LLMs Locally. Efficiently. Anywhere.

You

Llama.cpp brings powerful large language models like LLama to your local machine, optimized for CPU and edge-device performance—no GPU or internet required.

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What is llama.cpp?

A lightweight engine for running powerful language models locally.

Run LLMs Locally

Llama.cpp lets you run powerful language models like LLaMA directly on your laptop, phone, or Raspberry Pi—no internet or GPU needed.

Run LLMs Locally

Llama.cpp lets you run powerful language models like LLaMA directly on your laptop, phone, or Raspberry Pi—no internet or GPU needed.

Run LLMs Locally

Llama.cpp lets you run powerful language models like LLaMA directly on your laptop, phone, or Raspberry Pi—no internet or GPU needed.

Lightweight & Fast

Built in C/C++ and optimized for CPUs, it uses quantization to shrink models and boost performance, even on low-resource devices.

Lightweight & Fast

Built in C/C++ and optimized for CPUs, it uses quantization to shrink models and boost performance, even on low-resource devices.

Lightweight & Fast

Built in C/C++ and optimized for CPUs, it uses quantization to shrink models and boost performance, even on low-resource devices.

Private by Design

Everything runs offline, so your data stays on your machine. No API calls. No cloud. Just pure local inference.

Private by Design

Everything runs offline, so your data stays on your machine. No API calls. No cloud. Just pure local inference.

Private by Design

Everything runs offline, so your data stays on your machine. No API calls. No cloud. Just pure local inference.

Llama C++

Who We Are

We’re an open-source community building tools that make cutting-edge AI accessible, portable, and local - no cloud lock-in, just performance and control.

Trusted by over 1000+ companies around the world

Our Goal

What Llama Intends To Do

Endless vision, at the touch of a button. Llama aims to allow users and businesses to run much more efficiently with rapid and cohesive responses.

How can i detach this problem ?
How can I improve user engagement?
Which areas of my website are underperforming?

What’s causing my page load speed to drop?
Why isn’t my traffic converting?
What needs to be optimized first?

Where am I losing potential leads in my funnel?
What factors are affecting my bounce rate?

The features

Adaptability & Development

Cross-Platform Compatibility

Run on Windows, macOS, Linux, and even embedded systems with minimal tweaks.

Active Community

Regular updates, pull requests, and forks—innovation is constant and driven by contributors.

Modular Architecture

Easily integrate into apps via bindings (Python, Rust, Node, Go) or the C API.

Continual Optimization

New quantization methods, batching, and memory improvements are added weekly to push efficiency even further.

Always Evolving

Backed by an active open-source community, llama.cpp is constantly improving—with new features, better performance, and broader model support added regularly.

Llama's Structure

Here is some key info about Llama:

What is llama.cpp?

A lightweight C/C++ implementation of Meta's LLaMA models that runs efficiently on CPUs and edge devices—no GPU or cloud required.

Do I need a GPU to use it?

Nope. llama.cpp is optimized for CPU inference, using quantized models to reduce memory and boost speed on everyday hardware.

Can I run it offline?

Yes. Everything runs locally. There’s no dependency on external APIs or internet access, making it perfect for private or air-gapped environments.

What kind of models does it support?

It supports a range of LLaMA-based models, including LLaMA 1, 2, 3, Code LLaMA, Alpaca, Vicuna, and others using the GGUF format.

Can I fine-tune or train models with it?

No. llama.cpp is for inference only. For training or fine-tuning, you’ll need other tools and more powerful hardware.

What is llama.cpp?

A lightweight C/C++ implementation of Meta's LLaMA models that runs efficiently on CPUs and edge devices—no GPU or cloud required.

Do I need a GPU to use it?

Nope. llama.cpp is optimized for CPU inference, using quantized models to reduce memory and boost speed on everyday hardware.

Can I run it offline?

Yes. Everything runs locally. There’s no dependency on external APIs or internet access, making it perfect for private or air-gapped environments.

What kind of models does it support?

It supports a range of LLaMA-based models, including LLaMA 1, 2, 3, Code LLaMA, Alpaca, Vicuna, and others using the GGUF format.

Can I fine-tune or train models with it?

No. llama.cpp is for inference only. For training or fine-tuning, you’ll need other tools and more powerful hardware.

What is llama.cpp?

A lightweight C/C++ implementation of Meta's LLaMA models that runs efficiently on CPUs and edge devices—no GPU or cloud required.

Do I need a GPU to use it?

Nope. llama.cpp is optimized for CPU inference, using quantized models to reduce memory and boost speed on everyday hardware.

Can I run it offline?

Yes. Everything runs locally. There’s no dependency on external APIs or internet access, making it perfect for private or air-gapped environments.

What kind of models does it support?

It supports a range of LLaMA-based models, including LLaMA 1, 2, 3, Code LLaMA, Alpaca, Vicuna, and others using the GGUF format.

Can I fine-tune or train models with it?

No. llama.cpp is for inference only. For training or fine-tuning, you’ll need other tools and more powerful hardware.