Ollama: Running Local LLM Councils for Maximum Privacy
How Ollama enables completely private, local LLM councils with zero external API dependencies.
Ollamalocal LLMprivate AIself-hosted AILLM council
Local AI Revolution
Ollama makes running LLMs locally as easy as Docker. For privacy-conscious councils, this is revolutionary.
How Ollama Works
Simple Installation
# macOS/Linux
curl -fsSL https://ollama.com/install.sh | sh
# Pull a model
ollama pull llama3.2
Model Library
- Llama 3.2 family
- Mistral family
- Qwen family
- Gemma family
- Nanbeige family
Privacy Advantages
Zero Data Egress
Nothing leaves your machine:
- Complete privacy
- No API logging
- Air-gapped capable
No Rate Limits
Run unlimited queries:
- No throttling
- No quotas
- Predictable performance
Cost Control
After hardware, everything is free:
- No per-token costs
- No subscription fees
SPRAPP + Ollama
SPRAPP supports Ollama natively:
- Install Ollama
- Pull desired models
- Configure in SPRAPP settings
- Run completely local councils
Combine local models with cloud APIs for hybrid privacy-performance optimization.