A Coding Implementation on Microsoft’s Phi-4-Mini for Quantized Inference Reasoning, Tool Use, RAG, and LoRA Fine-Tuning

The tutorial shows how to run Microsoft’s Phi-4-mini-instruct in 4-bit quantization for chat, structured reasoning, and tool use.

It also demonstrates retrieval-augmented generation and streaming responses in one notebook, proving a small model can support modern LLM workflows.

A LoRA fine-tuning section makes it practical to experiment and deploy on limited hardware, including Colab-friendly setups.