Distributed Ollama Network

Free distributed computing system that lets users donate GPU/CPU resources to run Ollama models for EditorAI and other projects.

Thank you VLT.gg for the server making this possible!

🚀 Quick Start

📋 For EditorAI Users

1. Change your Ollama URL in EditorAI settings to http://sn-1.vltgg.net:21800 (depricated - now, simply enable Platinum)
2. Set the Ollama model to any supported model (command listed below)

To list all models, run:

curl http://sn-1.vltgg.net:21800/api/tags

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👥 For Donors

Install Python from https://python.org, then pip install -r requirements.txt. The worker can donate several kinds of backend — pick whichever you have:

Local Ollama (default)

ollama pull <model>          # download any model
python worker/client.py

A llama.cpp server

python worker/client.py --backend llamacpp --endpoint http://localhost:8080

A hosted / custom OpenAI-compatible endpoint (share an API key, a gateway, or any custom endpoint). You choose exactly which model names to expose, and the worker prompts for the key (hidden input) unless you pass --api-key / set EDITORAI_WORKER_API_KEY:

python worker/client.py --backend openai \
    --endpoint https://api.example.com \
    --models glm-4.7-flash,glm-4.5-flash

Your privacy: the worker never sends your IP address to the coordinator. The network is pull-based (your machine polls for work; the coordinator never connects back), so your address is never needed, transmitted, or stored.

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📊 Monitoring

Check Status

# See workers and stats
curl http://sn-1.vltgg.net:21800/api/status | python -m json.tool

# Check health
curl http://sn-1.vltgg.net:21800/health