# Tutorials Explore the growing collection of ready-to-use configurations for state-of-the-art models and training workflows: | Tutorial | Description | Links | |----------|-------------|--------| | {gh}`🎯 Getting Started: A Tour ` | Comprehensive overview of Oumi's architecture and core capabilities | {download}`Download `
| | **Model Training & Finetuning** ||| | {gh}`🔧 Model Finetuning Guide ` | Step-by-step guide to efficient model finetuning techniques | {download}`Download `
| | {gh}`🖼️ Oumi Multimodal ` | Step-by-step guide to finetuning vision-language models | {download}`Download `
| | {gh}`📚 Model Distillation ` | Guide to distilling large models into smaller, efficient ones | {download}`Download `
| | {gh}`🎮 OpenEnv RL Training ` | Reinforcement learning training with OpenEnv and GRPO | {download}`Download `
| | **Deployment & Infrastructure** ||| | {gh}`🔄 vLLM Inference Engine ` | High-performance inference using vLLM | {download}`Download `
| | {gh}`☁️ Remote Training ` | Guide to running jobs on cloud platforms | {download}`Download `
| | {gh}`🖥️ Custom Clusters ` | Integrating your custom compute clusters | {download}`Download `
| | {gh}`🚀 Model Deployment ` | Guide to deploying models in production | {download}`Download `
| | **Datasets & Evaluation** ||| | {gh}`⚖️ Simple Judge ` | Creating custom evaluation metrics and judges | {download}`Download `
| | {gh}`📊 AlpacaEval Evaluation ` | Model evaluation using AlpacaEval 2.0 | {download}`Download `
| | {gh}`📋 Oumi Evaluation ` | Comprehensive model evaluation using Oumi's evaluation framework | {download}`Download `
| | **Custom Models** ||| | {gh}`🧠 NanoGPT Integration ` | Training and using NanoGPT models with Oumi | {download}`Download `
| | {gh}`🔄 CNN Training ` | Training CNNs on custom datasets | {download}`Download `
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