google-gemma/cookbook resource
A collection of guides and examples for the Gemma open models from Google. observed · 2026-08-28
Health v2 · maintenance only
68/100
- Activity 98
- Release rhythm 35
- Longevity 59
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: 829
- days_rel: n/a
- days_push: 14
- n_releases_24m: 0
Adoption not part of the score
3984 stars · 658 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of guides, tutorials, and example notebooks for Google's Gemma family of open models, including variants like CodeGemma, MedGemma, and PaliGemma. It provides tested Jupyter notebooks, full-stack demo apps, and responsible AI resources for building with Gemma.
Use cases
- learn how to run Gemma models locally
- fine-tune Gemma for a custom task
- build a chatbot with Gemma
- use CodeGemma for code generation
- run Gemma on low-resource devices
- explore multimodal examples with PaliGemma
- get started with Google open LLMs
When to choose
- you want official, tested notebooks and guides for Gemma models
- you need examples spanning text, code, medical, and multimodal Gemma variants
- you are learning to deploy or fine-tune Gemma on cloud or edge devices
When to avoid
- you need a production-ready library or API rather than example notebooks
- you are working with non-Gemma models like Llama or Mistral
- you need guaranteed accuracy, since examples may reflect model hallucinations
Facets
learning-resource · maturity active
machine-learning llm-inference prompt-engineering rag developer-tools large-language-models artificial-intelligence tutorials python cross-platform gemma google-deepmind jupyter-notebooks open-models fine-tuning codegemma medgemma multimodal natural-language-processing gpu
3 sources
- readme: https://github.com/google-gemma/cookbook · fetched 2026-08-28 · 9f1b07777e25
- homepage: https://ai.google.dev/gemma/ · fetched 2026-08-29 · 458fc3b379e2
- site_page: https://deepmind.google/about · fetched 2026-08-29 · ae485140138c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-gemma/cookbook | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="google-gemma/cookbook")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem