If you are an avid user of LLMs (Little Language Models), you may want to install LM Studio to run LLMs offline in Linux. LM Studio is a powerful tool that allows you to train and run language models on your local machine without needing an internet connection. In this article, we will guide you through the process of installing LM Studio in Linux.

Before we get started, make sure you have Python 3.6 or higher installed on your system. You can check your Python version by running the following command in your terminal:

python --version

If you don’t have Python installed, you can easily do so by running the following command in your terminal:

sudo apt install python3

Once you have Python installed, you can proceed with the installation of LM Studio. Here are the steps to install LM Studio in Linux:

Step 1: Install LM Studio dependencies
LM Studio requires a few dependencies to be installed on your system. You can install them using the following commands:

sudo apt install libsndfile1
sudo apt install ffmpeg
sudo apt install libportaudio2

Step 2: Clone the LM Studio repository
Next, you need to clone the LM Studio repository from GitHub. You can do this by running the following command in your terminal:

git clone https://github.com/lm-ntu/Studio.git

Step 3: Install LM Studio
Navigate to the directory where you cloned the LM Studio repository and run the following commands to install LM Studio:

cd Studio
pip install -e .

Step 4: Install additional dependencies
LM Studio also requires a few additional dependencies that can be installed using the following command:

pip install 'torch==1.8.1' 'torchaudio==0.8.1' 'soundfile==0.10.3.post1' 'black==21.5b2' 'python-Levenshtein==0.12.2' 'librosa==0.8.1' 'transformers==4.6.0' 'sentencepiece==0.1.96' 'textgrid==1.5' 'lvspeech: 0.1'

Step 5: Run LM Studio
Once you have installed all the dependencies, you can run LM Studio by running the following command in your terminal:

studio

LM Studio should now be up and running on your machine. You can use it to train and run LLMs offline in Linux without needing an internet connection. Enjoy experimenting with different language models and text generation tasks using LM Studio!

In conclusion, installing LM Studio to run LLMs offline in Linux is a straightforward process. By following the steps outlined in this article, you can set up LM Studio on your machine and start creating and running language models locally. Have fun exploring the world of LLMs with LM Studio!