Gemma 3

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📸 Thumbnail Tutorial

See How It’s Made: https://youtu.be/ThKYjTdkyP8

Video Links:

- Colab: https://colab.research.google.com/drive/1bUXCxYefsk5tG8PgMIvA-UYptn1qPslW?usp=sharing

- Gemma 3 Paper: https://storage.googleapis.com/deepmind-media/gemma/Gemma3Report.pdf

- HF Repo: https://huggingface.co/google/gemma-3-1b-it

TIMESTAMPS:

00:00 Introduction to Gemma 3

00:29 Technical Paper Overview

01:05 Model Architecture and Attention Mechanism

02:14 Training and Hardware Details

03:08 Quantization and Memory Efficiency

04:49 Pre-Training and Distillation

06:59 Performance Benchmarks

08:43 Comparative Analysis with Other Models

09:00 Ablation Studies and Memory Savings

10:10 Long Context Handling

11:26 Distillation Phase Insights

13:21 Regurgitation Rate and Post-Training

14:25 Test Methodology and Comparisons

15:01 Results and Comparisons with Quinn and Deep Seek

19:19 Inference and Fine-Tuning Tips

21:35 Conclusion and Future Plans