Vicuna Installation Guide

Detailed instructions for installing and configuring Vicuna

Installation - Usage

latest changes

• updated the guide to vicuna 1.5 10.10.23
• fixed the guide
• added instructions for 7B model
• fixed the wget command
• modified the chat-with-vicuna-v1.txt in my llama.cpp fork
• updated this guide to vicuna version 1.1

  Requirements

• The Vicuna 13B model needs ~10GB of CPU RAM, If you don't have enough RAM, you can increase the size of your virtual RAM (swap) A tutorial on how to increase the swapfile on Linux: https://arcolinux.com/how-to-increase-the-size-of-your-swapfile/
• The git and wget package
• A Unix based operating system is recommended

Installation

One-line install script for Vicuna-1.1-13B

git clone https://github.com/fredi-python/llama.cpp.git && cd llama.cpp && make -j && cd models && wget -c https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf

One-line install script for Vicuna-1.1-7B

git clone https://github.com/fredi-python/llama.cpp.git && cd llama.cpp && make -j && cd models && wget -c https://huggingface.co/TheBloke/vicuna-7B-v1.5-GGUF/resolve/main/vicuna-7b-v1.5.Q4_K_M.gguf

Manual Installation

1. Clone the llama.cpp respository

git clone https://github.com/fredi-python/llama.cpp.git

2. Change directory

cd llama.cpp

3. Make it!

make -j

4. Move to the llama.cpp/models folder

cd models

5. a) Download the latest Vicuna model (13B) from Huggingface

wget -c https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf

5. b) Download the latest Vicuna model (7B) from Huggingface

wget -c https://huggingface.co/TheBloke/vicuna-7B-v1.5-GGUF/resolve/main/vicuna-7b-v1.5.Q4_K_M.gguf

Usage

Navigate back to the llama.cpp folder

cd ..

Example of how to run the 13b model with llama.cpp's chat-with-vicuna-v1.txt

./main -m models/vicuna-13b-v1.5.Q4_K_M.gguf --repeat_penalty 1.0 --color -i -r "User:" -f prompts/chat-with-vicuna-v1.txt