From ollama-local-ai
Guides OS-specific installation and configuration of Ollama for local AI models, including verification, model pulls, API testing, and GPU setup.
How this command is triggered — by the user, by Claude, or both
Slash command
/ollama-local-ai:setup-ollamasonnetThe summary Claude sees in its command listing — used to decide when to auto-load this command
# Setup Ollama - Local AI Installation I'll help you install and configure Ollama for free, local AI model deployment. ## Step 1: Detect Operating System Let me check your system: ## Step 2: Install Ollama ### For macOS: ### For Linux: ### For Windows: Download installer from: https://ollama.com/download/windows ## Step 3: Verify Installation ## Step 4: Pull Recommended Models ## Step 5: Test Model ## Step 6: Configure API Access Ollama runs on `http://localhost:11434` by default. Test the API: ## Optional: GPU Acceleration ### NVIDIA GPU: ### Apple Silicon: ##...
I'll help you install and configure Ollama for free, local AI model deployment.
Let me check your system:
uname -s
# Using Homebrew (recommended)
brew install ollama
# Start Ollama service
brew services start ollama
# Official installation script
curl -fsSL https://ollama.com/install.sh | sh
# Start service
sudo systemctl start ollama
sudo systemctl enable ollama
Download installer from: https://ollama.com/download/windows
ollama --version
# General purpose (4GB)
ollama pull llama3.2
# Code generation (20GB)
ollama pull codellama
# Fast and efficient (4GB)
ollama pull mistral
# Interactive chat
ollama run llama3.2
# Or quick test
echo "Write a hello world in Python" | ollama run llama3.2
Ollama runs on http://localhost:11434 by default.
Test the API:
curl http://localhost:11434/api/generate -d '{
"model": "llama3.2",
"prompt": "Why is the sky blue?"
}'
# Check GPU availability
nvidia-smi
# Ollama automatically uses CUDA if available
# Metal acceleration is automatic on M1/M2/M3
You can now use Ollama in your projects:
pip install ollamanpm install ollamahttp://localhost:11434Cost savings: You just eliminated $30-200/month in API fees! 🎉
Need help integrating Ollama into your project? Ask me!
npx claudepluginhub nickloveinvesting/nick-love-plugins --plugin ollama-local-ai/setup-ollamaGuides OS-specific installation and configuration of Ollama for local AI models, including verification, model pulls, API testing, and GPU setup.
/ollamaQueries local Ollama models with provided prompts for code review, explanation, security analysis, or suggestions. Manages setup, model selection, and downloads.
/ollama-setupInstalls, configures, and benchmarks Ollama for local LLM integration with Home Assistant. Supports install, pull, list, status, configure, and benchmark actions via <action> argument.
/fal-deployDeploys custom ML models to fal.ai serverless infrastructure with GPU support. Generates fal.App Python code including setup, endpoints, scaling, dependencies, and deployment commands.