Ollama
Run large language models locally on your own machine with a simple CLI and REST API — no cloud, no data sharing.
MIT
Go
Why Ollama?
You need 100% local inference for privacy or offline use
Prototyping with open-weight models like Llama, Mistral, or Gemma
Cutting LLM costs by running small models on your own hardware
Signal Breakdown
What drives the Trust Score
Download Trend
Last 12 months
Tradeoffs & Caveats
Know before you commitProduction at scale — local hardware cannot match cloud throughput
You need GPT-4 class reasoning — local models still lag behind
Pricing
Free tier & paid plans
100% free and open source
Free & open-source
Alternative Tools
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Often Used Together
Complementary tools that pair well with Ollama
Learning Resources
Docs, videos, tutorials, and courses
Get Started
Repository and installation options
View on GitHub
github.com/ollama/ollama
brew install ollamacurl -fsSL https://ollama.com/install.sh | shQuick Start
Copy and adapt to get going fast
# Pull and run a model
ollama pull llama3.2
ollama run llama3.2
# Or call via REST API
curl http://localhost:11434/api/generate -d '{
"model": "llama3.2",
"prompt": "Hello!"
}'Community Notes
Real experiences from developers who've used this tool