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tlm - Local CLI Copilot, powered by CodeLLaMa. 💻🦙

[!TIP] Starcoder2 3B model option coming soon to support workstations with limited resources.

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tlm is your CLI companion which requires nothing except your workstation. It uses most efficient and powerful CodeLLaMa in your local environment to provide you the best possible command line suggestions.

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Explain

Features

Installation

Installation can be done in two ways;

Prerequisites

Ollama is needed to download to necessary models. It can be downloaded with the following methods on different platforms.

Download instructions can be followed at the following link: https://ollama.com/download

curl -fsSL https://ollama.com/install.sh | sh
# CPU Only
docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

# With GPU (Nvidia & AMD)
docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama

Installation Script

Installation script is the recommended way to install tlm. It will recognize the which platform and architecture to download and will execute install command for you.

Linux and macOS;

Download and execute the installation script by using the following command;

curl -fsSL https://raw.githubusercontent.com/yusufcanb/tlm/1.1/install.sh | sudo -E bash

Windows (Powershell 5.1 or higher)

Download and execute the installation script by using the following command;

Invoke-RestMethod -Uri https://raw.githubusercontent.com/yusufcanb/tlm/1.1/install.ps1 | Invoke-Expression

Go Install

If you have Go 1.21 or higher installed on your system, you can easily use the following command to install tlm;

go install github.com/yusufcanb/tlm@latest

Then, deploy tlm modelfiles.

:memo: Note: If you have Ollama deployed on somewhere else. Please first run tlm config and configure Ollama host.

tlm deploy

Check installation by using the following command;

tlm help

Uninstall

On Linux and macOS;

rm /usr/local/bin/tlm

On Windows;

Remove-Item -Recurse -Force "C:\Users\$env:USERNAME\AppData\Local\Programs\tlm"

Contributors

<a href = "https://github.com/yusufcanb/tlm/graphs/contributors"> <img src = "https://contrib.rocks/image?repo=yusufcanb/tlm"/> </a>