Kokoro-TTS Video : • Run Free Text-to-Speech Locally on Op...
Open WebUI setup : • Beginners Guide to Installing Open WebUI
In this video, I'm diving deep into the Gemma 3 language models — specifically the 1B, 12B, and 27B parameter models — and sharing my thoughts on their performance when used locally with Open WebUI.
✅ Why the 1B model surprised me
✅ How the 27B model handles complex tasks
✅ A first look at the 12B vision-capable model
✅ Kokoro Text-to-Speech integration walkthrough
✅ Hands-on testing with real-world prompts (emails, conversations, recipes & more)
I’ll show you:
How to download and set up these models locally
Practical use-cases and performance comparisons
Benchmark insights, inference speed, and quality differences
A peek into how I evaluate models beyond just benchmarks
📥 Downloads & Resources Mentioned:
Whether you're a beginner experimenting with LLMs or an advanced user optimizing your AI workflow, this video will give you a solid perspective on what each Gemma model brings to the table.
If you enjoy nerding out on AI models and open-source tools, make sure to Like, Comment & Subscribe — more deep dives coming soon!
📌 Chapters: 00:00 Intro
00:48 Gemma 3 1B Model Overview
02:26 Explaining Neural Networks with AI
04:00 Comparing 1B vs 27B
07:06 First Look at 12B Vision Model
10:00 Text-to-Speech Integration
12:00 Quality, Speed & Use-Case Comparisons
14:50 Final Thoughts
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