Ollama Local Models
CommunityRun local LLMs, keep data private, save costs.
AuthorJony2176-cloud
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides expert guidance for integrating Ollama to run open-source Large Language Models (LLMs) locally, addressing privacy concerns, reducing API costs, and enabling offline AI capabilities.
Core Features & Use Cases
- Local LLM Execution: Run models like Llama 3, Code Llama, and Mistral directly on your machine.
- Streaming & Chat: Implement real-time text generation and multi-turn conversational interfaces.
- Embeddings & Vision: Generate text embeddings for RAG and analyze images with multimodal models.
- FastAPI Integration: Deploy local LLMs as a robust API endpoint for your applications.
- Use Case: Develop a privacy-focused internal document summarizer that processes sensitive company data without sending it to external cloud providers, ensuring compliance and data security.
Quick Start
Generate text using the 'llama3.2' model with the prompt 'Explain quantum computing in simple terms'.
Dependency Matrix
Required Modules
ollamaaiohttppydanticfastapinumpyPillow
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Ollama Local Models Download link: https://github.com/Jony2176-cloud/n8n/archive/main.zip#ollama-local-models Please download this .zip file, extract it, and install it in the .claude/skills/ directory.