ollama-stack
CommunityLocal LLM stack for privacy.
AuthorBagelHole
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for running large language models locally, ensuring data privacy and enabling offline development workflows without relying on external cloud services.
Core Features & Use Cases
- Local LLM Deployment: Easily set up and manage LLMs like Llama 3.1 on your own hardware.
- Web UI Integration: Provides a chat interface (Open WebUI) for interacting with deployed models.
- GPU Optimization: Includes considerations for GPU-aware tuning for enhanced performance.
- Use Case: A developer needs to experiment with a new LLM for a feature without sending sensitive code or data to a third-party API. They can use this Skill to deploy the LLM locally and iterate quickly.
Quick Start
Install Ollama and pull the llama3.1:8b model by running the provided curl command and then the ollama pull command.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 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-stack Download link: https://github.com/BagelHole/DevOps-Security-Agent-Skills/archive/main.zip#ollama-stack Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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