Build from Source Llama.cpp with CUDA GPU Support and Run LLM Models Using Llama.cpp

Description:

#llama #llm #cuda #machinelearning It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way: - Buy me a Coffee: - PayPal: - Patreon: - You Can also press the Thanks YouTube Dollar button In this machine learning and large language model, we explain how to compile and build llama.cpp program with GPU support from source on Windows. For viewers of this tutorial who are not familiar with Llama.cpp, Llama.cpp is a program for running large language models (LLMs) locally. You can run the model with a single command line. Once we explain how to build llama.cpp, we explain how to run Microsoft’s Phi-4 LLM. The main reason for building llama.cpp from scratch is that our experience shows that the binary version of llama.cpp that can be found online does not fully exploit the GPU resources. To make sure that that llama.cpp fully exploits the GPU card, we need to build llama.cpp from scratch by using the CUDA and C++ compilers.