How to run OpenAI’s open weight models locally on your computer

Workshop recording

Dr. Alvaro Cintas PhD AI Professor

10 chapters · 1h 2m · Beginner

About this course

Run open-weight reasoning models on your own computer with Ollama and LM Studio while balancing hardware limits, privacy, model size, and hosted testing options.

What you'll learn

  • Pick the Right Model Choose between GPT-OSS, hosted OpenAI models, and other open models based on privacy, offline access, cost, customization, and model quality.
  • Evaluate Hardware Fit Assess whether GPT-OSS 20B or 120B fits your machine by comparing memory, parameter size, architecture, benchmarks, and practical performance needs.
  • Run Models with Ollama Install Ollama and run GPT-OSS locally from the terminal, with smaller model alternatives ready when your computer cannot handle larger models.
  • Use LM Studio Locally Use LM Studio to download local models, chat through a visual interface, and query local documents with retrieval-augmented generation.
  • Protect Private Data Decide when fine-tuning, retrieval, or local execution is appropriate for sensitive legal, healthcare, finance, research, coding, or internal business workflows.
  • Experiment Safely Test hosted demos safely for quick experimentation while keeping sensitive prompts and files reserved for local workflows.

Course curriculum

1 part · 10 chapters

Your instructor

Dr. Alvaro Cintas PhD AI Professor

$29 billed monthly

  • This full course
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Included in the course

  • 10 chapters, 1h 2m
  • Progress tracking
  • Closed captions available
  • Level: Beginner
  • Access from any device

Tools used

Ollama, LM Studio, ChatGPT, Grok