Brain tracker that won't blow smoke up your ass. Gemma 4, Android, fully local.
GEMMA-CLI A remarkably fast, secure, and completely local terminal user interface for Google's Gemma models.
Running LTX‑2 19B AI Model: Image/Audio-to-Video Locally on Intel Arc (XPU) GPU & CPU
Multimodal AI platform powered by Gemma for text, image understanding, function calling, local inference, and agentic workflows.
One-click installer for Google Gemma 4 12B — optimized to run on 8GB laptops, 1M context, native multimodal. No terminal. Win/Mac, MIT.
BioGemma — Google Gemma 3 1B fine-tuned on medical/biomedical corpus for clinical NLP tasks
This project presents a medical question–answering language model built by fine-tuning Google Gemma-2-2B-IT using LoRA (Low-Rank Adaptation) 🧠⚕️. The primary objective is to adapt a general-purpose large language model to the healthcare domain in a parameter-efficient, reproducible, and resource-aware manner.
A practice-first platform helping non-technical business owners master AI prompting through interactive coaching, comparison tools, and hands-on agent simulations.
Hands-on benchmark of Google Gemma 4 in LM Studio, with prompts, Gradio evaluator, saved outputs, and a published companion report.
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.
This is a sample notebook that can be used for exploring the fine-tuning of LLM using Unsloth Library. The LLM used for the experimentation is Google Gemma.
Gemma-2b-it LLM has been finetuned on a dataset of Python codes, enabling it to proficiently learn Python syntax and assist in debugging tasks, offering valuable guidance to programmers.
🧪 70-test, 6-model AI benchmark: Gemma 4 vs Gemini Pro vs Flash vs Qwen. 420 verified runs across 13 categories. All prompts, rubrics, runner code & raw results included. Code executed, constraints verified, prompt injection confirmed on Vertex AI Studio.
Gemma 4 — Free Online Multimodal AI Platform | Text, Image & Audio Understanding | Powered by Google's Open-Source Gemma 4 Models
Ghost Job Detector is a production-ready Next.js web app that helps job seekers analyze job posts using AI before applying.
Ember CoreUI is the standalone, multimodal reference interface for the E.M.B.E.R. cognitive architecture. Completely isolated from the game backend of the Starlight Unit, the system offers its own infrastructure with DB, server stack and live browsing including a visible ghost cursor. Designed for autonomous, CPU-based cognitive research.
"Flipping mass surveillance to protect the public: A creator-first AI tool that monitors the web for stolen IP and automates legal takedowns."
Use Google Gemma with Gradio Chat
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