Скачать или смотреть Run Gemma-3-27B on FREE Kaggle GPUs | llama.cpp Tutorial

In this video, I show you how to run Google's powerful Gemma-3-27B model completely FREE on Kaggle's T4 GPUs using llama.cpp and Quantization-Aware Training (QAT).
Previously, models of this size required expensive enterprise hardware costing thousands of dollars, but now you can access state-of-the-art AI without spending a dime. I walk through a complete Kaggle notebook demonstrating how to set up the optimized llama.cpp build, run image understanding tasks, and generate creative text—all within Kaggle's free GPU environment.
You'll learn how QAT reduces the model's memory requirements from 54GB to just 14.1GB while maintaining impressive performance, and see practical applications including multimodal understanding and creative writing. This breakthrough in AI accessibility opens up powerful tools to individual developers, researchers, and hobbyists without requiring expensive cloud credits or specialized hardware.
Whether you're looking to build sophisticated chatbots, generate content, analyze images, or experiment with fine-tuning, this tutorial will show you how to leverage Kaggle's free resources to work with cutting-edge AI models.
#AI #MachineLearning #Gemma3 #LLM #llama_cpp #Kaggle #FreeGPU #AITutorial #DataScience