Parta Runtime Lite / Guide / Install and run

Install and run

Parta Runtime Lite · Getting started · September 2026

Parta Runtime Lite is a single portable executable. There is no installer, no background service, and no account. This page covers everything from download to your first request.

1. Download

Get the current build from the download and verify section of the homepage. The download is a zip file containing the executable, a sample configuration file, and third-party licence notices.

2. Verify the checksum

Before running anything, check the file's SHA256 checksum against the value published next to the download. On Windows:

Get-FileHash .\parta-runtime-lite-cuda-v0.1.0.zip -Algorithm SHA256

Compare the output to the published hash. If they don't match, do not run the file, download it again.

3. Extract

Unzip the archive anywhere on disk, a local folder, an external drive, or a network share. No admin rights are required and nothing is written outside the folder you extract to.

4. Configure

Open lite.toml in the extracted folder and set model.path to a GGUF model file you already have:

[model]
path = "D:/models/your-model.gguf"
gpu_layers = 99
context_size = 8192

Set gpu_layers = 0 to run on CPU only. Leave server.host as 127.0.0.1 to keep the server reachable only from your own machine, or set it to 0.0.0.0 to accept connections from other devices on your network.

5. Run

Run parta-runtime-lite.exe. On startup it prints the model loaded and the address it's listening on. Leave the window open, the server runs for as long as the process is running.

6. Send a request

The server speaks OpenAI-compatible and Anthropic-compatible chat completion formats. Anything already built against those APIs works here by pointing it at your local address instead:

curl http://127.0.0.1:8080/v1/chat/completions ^
  -H "Content-Type: application/json" ^
  -d "{\"model\":\"local\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}"

Something not working?

Check the bug and feedback form on the homepage, or use it to tell us your build version, GPU/OS, and the model you're using.