Download
The llama.cpp project enables the inference of Meta's LLaMA model (and other models) in pure C/C++ without requiring a Python runtime. It is designed for efficient and fast model execution, offering easy integration for applications needing LLM-based capabilities. The repository focuses on providing a highly optimized and portable implementation for running large language models directly within C/C++ environments.
Features
- Pure C/C++ implementation for efficient LLM inference.
- Supports LLaMA models and other variants.
- Optimized for performance and portability.
- No dependency on Python, ensuring a lightweight deployment.
- Provides easy integration into C/C++-based applications.
- Scalable for large language model execution.
- Open-source, under the MIT license.
- Lightweight setup with minimal requirements.
- Active development and community contributions.
Project Samples
License
MIT LicenseFollow llama.cpp
Other Useful Business Software
Passwordless Authentication and Passwordless Security
It’s no secret — passwords can be a real headache, both for the people who use them and the people who manage them. Over time, we’ve created hundreds of passwords, it’s easy to lose track of them and they’re easily compromised. Fortunately, passwordless authentication is becoming a feasible reality for many businesses. Duo can help you get there.
Rate This Project
Login To Rate This Project
User Reviews
-
Awesome. Democratizing AI for everyone. And it works great!