A collection of guides and examples for the Gemma open models from Google.
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Updated
Sep 2, 2026 - Jupyter Notebook
A collection of guides and examples for the Gemma open models from Google.
Alacritty + Fish + Zellij + Starship + Neovim + i3 + Supermaven + Ollama 🦙 = 🚀
LLM is a very powerful tool. It often performs more than required (hallucinations) and may tend to generate output in a pattern it finds best. We need RAG to harness the power of LLM in a controlled manner. In this work we implement a simple RAG system with Codegemma and an in-memory Vector Database.
Automate and evaluate software test scenarios for electric vehicle software using the LLMs.
Lightweight, ultra-fast inline code completion extension powered by Ollama and Codegemma.
A collection of guides and examples for the Gemma open models from Google.
LM Studio playbook for running CodeGemma 1.1 7B Instruct locally: laptop-friendly hardware tiers, Q5 preset, and sampling defaults.
This project shows how to fine-tune the CodeGemma model for generating CUDA code snippets using your own dataset. With LoRA (Low-Rank Adaptation)
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