The Sequence Engineering #469: Llama.cpp is The Framework for High Performce LLM Inference
Was this email forwarded to you? Sign up here The Sequence Engineering #469: Llama.cpp is The Framework for High Performce LLM InferenceOne of the most popular inference framework for LLM apps that care about performance.
In today’s edition of TheSequence Engineering, we are going to discuss one of my favorite AI engineering stacks that I have been actively using in the last few months. llama.cpp is an open-source C/C++ library designed for efficient inference of large language models (LLMs), particularly those in the LLaMA family. Developed by Georgi Gerganov, it implements Meta's LLaMA architecture with optimizations for various hardware configurations, including resource-constrained devices. Architecture OverviewThe architecture of llama.cpp is built upon the foundation of the original LLaMA models, which are based on the transformer architecture. However, llama.cpp incorporates several key improvements:... Subscribe to TheSequence to unlock the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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