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.
License
MIT LicenseFollow llama.cpp
Other Useful Business Software
Stop Storing Third-Party Tokens in Your Database
Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
Rate This Project
Login To Rate This Project
User Reviews
-
Awesome. Democratizing AI for everyone. And it works great!