microsoft/PhiCookBook resource
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks observed · 2026-08-28
Health v2 · maintenance only
69/100
- Activity 99
- Release rhythm 35
- Longevity 60
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 848
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
3795 stars · 514 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A cookbook of hands-on Jupyter notebook examples and guides for Microsoft's Phi family of small language models (SLMs), covering Phi-3 and Phi-4 variants including multimodal and mini editions. It shows how to run, fine-tune, quantize, and deploy Phi models across cloud and edge devices.
Use cases
- get started with microsoft phi small language models
- run phi-4 on an edge device with limited compute
- fine-tune phi-3 for a custom task
- quantize phi models for on-device inference
- learn to build generative ai apps with slms
- run phi multimodal models on images and audio
- deploy phi models to cloud or local hardware
When to choose
- you want practical notebook-driven examples for Phi models specifically
- you need to deploy capable small models on constrained hardware or edge devices
- you want official, maintained guidance covering the Phi-3 and Phi-4 families including multimodal variants
When to avoid
- you need a production serving framework rather than learning material
- you are working with large frontier models like GPT or Llama-70B instead of SLMs
- you want a general LLM course not focused on the Phi model family
Facets
learning-resource · maturity active
llm-inference machine-learning developer-tools large-language-models artificial-intelligence tutorials developer-tools python cross-platform cloud phi-models small-language-models cookbook jupyter-notebooks microsoft on-device-ai fine-tuning quantization
1 source
- readme: https://github.com/microsoft/PhiCookBook · fetched 2026-08-28 · 18aac0cab36a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| microsoft/PhiCookBook | main | 69 |
For agents
markdown · JSON · MCP: product_card(name="microsoft/PhiCookBook")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem