Gemma-4 12B + Hermes,Google AI Edge: EASY, GOOD & LOCAL!

In this video, I'll be telling you about Google’s new Gemma 4 12B model, a local multimodal AI model designed for agentic workflows on laptops, with support for AI Edge Gallery, LiteRT-LM, Ollama, Hermes, and other local AI tools. -- Key Takeaways: 🚀 Google has introduced Gemma 4 12B, a new local multimodal model built for agentic workflows. 💻 The model is designed to run on consumer laptops with around 16GB of VRAM or unified memory. 🧠 Gemma 4 12B uses a unified, encoder-free multimodal architecture for text, vision, and audio. ⚡ Multi-Token Prediction drafters are included to help reduce latency for local inference. 🛠️ Google is supporting a full local ecosystem with AI Edge Gallery, LiteRT-LM, Ollama, LM Studio, Hugging Face, and more. 🔗 LiteRT-LM can serve Gemma 4 12B through a local OpenAI-compatible endpoint for tools like Hermes, Continue, Aider, OpenCode, and OpenClaw. 📱 AI Edge Gallery on macOS provides an easy app-based way to test private, offline local AI workflows. 🤖 Ollama support makes it simple to run Gemma 4 12B and connect it with agent tools like Hermes. 👍 Overall, Gemma 4 12B looks like one of Google’s most practical local AI releases for privacy, offline use, coding, and agent workflows.