win-ai-local
OfficialRun LLMs locally on Windows with Ollama
AuthorIrisGoLab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Windows users who want to run large language models without cloud dependencies face latency, privacy concerns, and setup complexity. win-ai-local enables on-device LLM inference via Ollama, model management, and hardware detection to keep data local and responsive.
Core Features & Use Cases
- Local LLM inference on Windows via Ollama; manage models and run on-device reasoning with hardware detection (NPU, GPU, DirectML).
- Privacy-first workflows: no data leaves the machine; suitable for sensitive data and restricted networks.
- Use case: In a Windows desktop app, developers prototype and run models locally, accelerate inference with available hardware, and test offline scenarios.
Quick Start
Install Ollama, start the Ollama server, and begin local LLM inference with a sample model.
Dependency Matrix
Required Modules
None requiredComponents
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: win-ai-local Download link: https://github.com/IrisGoLab/PCClaw/archive/main.zip#win-ai-local Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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