Author: Vladimir Poplavskij

LLaMA (Lingual Language Mapper) is an open-source software used for language detection and mapping. It is a powerful tool that can be used for various purposes, including data analytics, sentiment analysis, and machine learning. If you are looking to set up LLaMA on Fedora, this article will guide you through the process.

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Before you begin, ensure that your system is updated and has the necessary dependencies installed. You can update your system by running the following command:

sudo dnf update

Next, install the dependencies required to build and run LLaMA:

sudo dnf install gcc gcc-c++ make cmake3 boost-devel

Once the dependencies are installed, you can copy the Inference of the LLaMA model in pure C/C++ or by running the following command:

git clone https://github.com/ggerganov/llama.cpp

Next, navigate to the extracted directory and make the following:

cd llama.cpp
make

Install Python dependencies (need disc space):

python3 -m pip install torch numpy sentencepiece

After downloading models to :

ls ./models