Title: Discussion 2 — Choosing a Model for a Commercial Chatbot
Course: AIINFRA 201: Model Adaptation — Fine-Tuning & Quantization > Section: Week 02 — Open Models, Licenses, and the Fine-Tuning Toolchain Setup

💬 Discussion 2 — Choosing a Model for a Commercial Chatbot (20 pts)

You want to fine-tune and deploy a chatbot as part of a commercial product. Would you pick Llama 3.1 or Qwen 3 as your base model, and why? In your post, address:

- What license each model carries, and whether that license is OSI-approved open source or a custom community license.
- At least one specific clause or restriction (such as a usage cap or field-of-use limit) that could affect your business, and how you found it (cite the model card or license page you checked).
- How your choice might change depending on your business model — for example, a startup below any usage threshold vs. a company planning to serve the model behind a closed API at scale.

Post your initial response (150+ words) by the midweek deadline, then respond to at least two classmates — ideally engaging with someone who picked the opposite model from you. Push on their reasoning: did they check the current license on Hugging Face, or are they going off assumptions?