OpenAI just released GPT-OSS, their first "open weight" model that you can run completely free on your local machine. In this video, I show you how to get it running on Mac with MCP servers using LM Studio, plus what you need to know about context window limitations when running local models with tools. I walk through the complete setup process, compare LM Studio vs Ollama for running GPT-OSS, and demonstrate real MCP server integration. You'll see firsthand how context windows fill up fast with local models, and I'll show you how to optimize your setup for the best performance. ⏱️ TIMESTAMPS: 00:00 - Introduction to GPT-OSS 01:25 - LM Studio Setup & Download 02:32 - Model Configuration & Context Window Settings 03:50 - MCP Server Integration 04:46 - Context Window Reality Check Demo 06:32 - Optimizing Performance Settings 07:50 - Safety Guardrails & Testing 08:45 - Final Thoughts & Use Cases 🔗 RELEVANT LINKS: Book a call with me → https://yedatechs.com/#container06 Sponsorship inquiries → hi@yedatechs.com OpenAI GPT-OSS Announcement → https://openai.com/index/introducing-gpt-oss/ LM Studio → https://lmstudio.ai/ Ollama → https://ollama.com/ GPT-OSS on Ollama → https://ollama.com/library/gpt-oss GPT-OSS on Hugging Face → https://huggingface.co/openai/gpt-oss-20b Whether you're looking to run AI locally for privacy, cost savings, or just experimentation, this complete tutorial shows you exactly how to get started with OpenAI's latest open weight model. #GPTOSS #OpenAI #MCPServers #LMStudio #LocalAI #MacTutorial #OpenWeight #AITools #PrivateAI #2025Tech #OpenSource #LocalModels #AIProductivity

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