GEMMA-CLI A remarkably fast, secure, and completely local terminal user interface for Google's Gemma models.
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Updated
Apr 12, 2026 - TypeScript
GEMMA-CLI A remarkably fast, secure, and completely local terminal user interface for Google's Gemma models.
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.
BioGemma — Google Gemma 3 1B fine-tuned on medical/biomedical corpus for clinical NLP tasks
The Ultimate Gemma 4 Collection - Private & Uncensored AI
Hands-on benchmark of Google Gemma 4 in LM Studio, with prompts, Gradio evaluator, saved outputs, and a published companion report.
Gemma 4 — Free Online Multimodal AI Platform | Text, Image & Audio Understanding | Powered by Google's Open-Source Gemma 4 Models
Running LTX‑2 19B AI Model: Image/Audio-to-Video Locally on Intel Arc (XPU) GPU & CPU
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.
Use Google Gemma with Gradio Chat
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.
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.
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