Gemma 3n First Look & LOCAL Chatbot Demo (TTS, Vision, Roleplay)

Video Description

Timestamps: 00:00 - Intro 01:26 - Technical First Look 03:48 - Giving It A Voice 04:17 - React App Chatbot Demo 07:18 - GGUF Mentions 07:57 - Multimodal Testing 09:20 - Thoughts RE Omni Models 10:45 - Real Image Testing 12:45 - Refusal Testing 14:37 - Roleplay Testing 16:00 - Translation Testing 16:54 - More RP Testing 18:40 - Script Overview 25:45 - Offline TTS Tips 26:14 - Closing Thoughts AI Consulting: https://bijanbowen.com Discord: https://discord.gg/hfaR2exy7S In this video, we take a look at Gemma3n, a newly released native multimodal model from Google DeepMind. Originally built for edge devices like phones, it’s now available on Hugging Face and can be run locally on a variety of systems using multiple backends. We start with a brief technical overview of the model, then show how to integrate it with TTS (text-to-speech) to give it a voice — allowing the model to listen, respond, and speak, fully offline. We demo a simple chatbot using a React front end and walk through speech pipeline scripts, covering both the GGUF mention and the backend options. In the second half, we explore the multimodal image capabilities, test image understanding, translation, refusal handling, and even a few rounds of roleplay to see how the model behaves with character prompts. HF Repo: https://huggingface.co/google/gemma-3n-E4B-it Github For React App: https://github.com/OminousIndustries/Gemma3n-TTS