llama-cpp Insights

What is llama-cpp?

llama.cpp is a project focused on providing a C/C++ implementation of the Llama large language model (LLM) and related models. It enables running these models with high performance, even on modest hardware such as laptops and mobile devices. It is commonly used for local inference of LLMs, allowing developers and users to experiment with and integrate LLMs into applications without relying on cloud-based services.

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What other technologies are related to llama-cpp?

llama-cpp Competitor Technologies

vLLM

vLLM is a fast and easy-to-use library for LLM inference and deployment. It competes with llama-cpp by offering an alternative inference solution, focused on speed and resource efficiency.

mentioned alongside llama-cpp in 8% (95) of relevant job posts

PyTorch

PyTorch is a popular machine learning framework. While llama-cpp provides a specific inference solution, PyTorch, paired with the transformer library, provides a broader LLM framework. Thus, they are competitive technologies.

mentioned alongside llama-cpp in 0% (176) of relevant job posts

TensorFlow

TensorFlow is a popular machine learning framework and can be used for LLM inference. While llama-cpp provides a specific inference solution, TensorFlow, paired with the KerasNLP library, provides a broader LLM framework. Thus, they are competitive technologies.

mentioned alongside llama-cpp in 0% (130) of relevant job posts

llama-cpp Complementary Technologies

CUDA

CUDA is a parallel computing platform and programming model developed by NVIDIA. llama-cpp can use CUDA for GPU acceleration, making it a complementary technology.

mentioned alongside llama-cpp in 0% (79) of relevant job posts

C/C++

llama-cpp is written in C/C++, so C/C++ compilers and tools are essential for its development and usage.

mentioned alongside llama-cpp in 0% (66) of relevant job posts

Python

Python is often used to interact with and deploy models served by llama-cpp. Python libraries can wrap llama-cpp functionality.

mentioned alongside llama-cpp in 0% (195) of relevant job posts