| File Name: | Complete Edition gpt-oss 20B / Gemma 3n Series Fine-tuning |
| Content Source: | https://www.udemy.com/course/gpt-oss-gemma-3n |
| Genre / Category: | Other Tutorials |
| File Size : | 917.6 MB |
| Publisher: | 経知 神草 |
| Updated and Published: | August 22, 2025 |
The AI Revolution is Here – And It’s AccessibleMyth: You need expensive hardware for Large Language Models. Not anymore.This comprehensive course covers fine-tuning OpenAI’s open-source gpt-oss 20B and Google’s Gemma 3n series (4B/270M). Start free with Google Colab; upgrade to Pro ($9.99/month) for advanced features.Why This Course?
Three Models in One Course:
- gpt-oss 20B: OpenAI’s open-source model. Apache 2.0 licensed. 32-expert MoE architecture. Adjustable reasoning. Runs on 16-24GB VRAM.
- Gemma 3n 4B: Multimodal with vision, audio, and cross-modal reasoning. Production-ready.
- Gemma 3n 270M: Efficient for edge devices. Great for prototyping.
Accessibility:
- Free Colab (T4 GPU, 16GB): Inference, demos, basic fine-tuning.
- Pro Colab (L4 GPU, 24GB): Full fine-tuning, optimization.
Learn 80% without spending.100% Verified:Notebooks tested August 19, 2025. Works on Free/Pro. Troubleshooting included.Curriculum (8 Modules):
- Introduction & Setup: Architectures, Colab setup, Unsloth.
- Technical Deep Dive: MoE, MXFP4 quantization, reasoning controls.
- gpt-oss 20B: Loading, LoRA fine-tuning, multi-language, memory optimization.
- Gemma 3n 4B: Multimodal preprocessing, alignment, integration.
- Gemma 3n 270M: Efficient fine-tuning, edge deployment.
- Advanced Techniques: Datasets, formatting, SFTTrainer, tuning.
- Applications: Problem solver, customer service, assistants.
- Troubleshooting: VRAM, convergence, optimization.
Real Results:
- Customer Bot: 42% to 89% accuracy.
- Summarization: 0.41 to 0.68 ROUGE.
- Q&A: 65% to 93% resolution.
- API Savings: $30,000 to $3,000/month.
DOWNLOAD LINK: Complete Edition gpt-oss 20B / Gemma 3n Series Fine-tuning
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