Fine-Tune AI Model on H100/A100 with Hugging Face

### 🔧 Webinar: Fine-Tuning Google Gemma with QLoRA on H100 GPU (Linux Setup + Hugging Face)

🚀 What You'll Learn:

• How to set up a Linux VM with an NVIDIA H100 GPU (Denvr AI Cloud) for ML workloads
• Installing and configuring NVIDIA drivers and CUDA correctly (no more version mismatch headaches!)
• Fine-tuning Google Gemma using QLoRA and Hugging Face Transformers
• Using real-world Text-to-SQL datasets to train LLMs efficiently
• How to save, merge, and test your fine-tuned models

👨‍💻 Live Demo Includes:

• End-to-end GPU environment setup
• Installing PyTorch, TRL, PEFT, and related libraries
• Downloading and preparing Hugging Face datasets
• Launching Jupyter Notebook to train and run inference
• Model merging and deployment tips

🎯 Key Takeaways:

• Master CUDA + PyTorch compatibility for training
• Optimize for low memory training with QLoRA
• Easily transition from fine-tuning to inference-ready models

📍 Who Should Attend:

• ML Engineers, Data Scientists, MLOps Practitioners
• Anyone training open LLMs (Gemma, Mistral, LLaMA, etc.)
• Developers struggling with driver/CUDA issues on GPUs

We will be using Denvr AI Compute for this Webinar