GitHub Actions for Free 24/7 AI Automation

说明与用途

作者使用 Ollama 在 MacBook 上本地运行 llama3.2 模型，消除了令牌费用并保持数据私密。

问题

Every token costs money, every API call adds up, and data goes to cloud servers.

结果

The author built 45 free, local AI tools that run 24/7 without cloud costs, enabling RAG systems, offline voice assistants, code reviewers, content generators, and personal AI.

工作流

• Install Ollama with brew install ollama
• Pull the llama3.2 model using ollama pull llama3.2
• Start the local server with ollama serve
• Send requests to the local endpoint http://localhost:11434/api/generate via a Python script

证据

Every token costs money. Every API call adds up. And your data goes to their servers.

来源

brew install ollama ollama pull llama3.2 ollama serve

来源

Now you have a GPT-4 level model running on your MacBook. Free. Private. Fast.

来源

I built 45 tools using this stack. All free. All local. All open source.

来源