wsl-ollama

Image Tags/Versions

Tag	Base Image	Operating System	R ver	ollama ver
latest	rocker/tidyverse	Ubuntu 24.04 LTS	4.4.2	0.5.1
4.4.2	rocker/tidyverse	Ubuntu 24.04 LTS	4.4.2	0.5.1
4.4.1	rocker/tidyverse	Ubuntu 22.04 LTS	4.4.1	0.5.1

Included R packages

Interfaces

• elmer
• ollamar

Data Preparation

• data.table
• tidyverse

Dependencies

1. Verify that your machine's graphics card supports CUDA: https://developer.nvidia.com/cuda-gpus
2. On Windows, install the latest game-ready driver from NVIDIA: https://www.nvidia.com/Download/index.aspx#
3. On Windows, install the latest version of Docker Desktop: https://www.docker.com/products/docker-desktop/
4. If using Option 2 below, on Windows, install the latest version of git: https://git-scm.com/downloads/win

Usage

Option 1: Pull and Run

• In the Windows Terminal, run:

  docker pull jmgirard/wsl-ollama
  docker run --gpus all -it -e PASSWORD=pass -p 8787:8787 jmgirard/wsl-ollama
  

• On Windows, use your web browser to access http://localhost:8787.
• In RStudio server, enter "rstudio" as username and "pass" as password.
• Modify the RStudio port and password in the docker run command if desired.

Option 2: Clone and compose

• In the Windows Terminal, run:

  git clone https://github.com/jmgirard/wsl-ollama.git
  cd wsl-ollama
  docker-compose up --build -d
  

• On Windows, use your web browser to access http://localhost:8787.
• In RStudio server, enter "rstudio" as username and "pass" as password.
• Modify the RStudio port and password in the .env file if desired.