Ollama Local Models

Community

Run 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.
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