> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/latest/tutorials/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server. # Tutorials ## Docs - [Tutorials](https://docs.nvidia.com/nemo/automodel/latest/tutorials/overview.md): Follow NeMo AutoModel walkthroughs for specific language, vision-language, multimodal, and audio models and tasks. - [Function Calling with NeMo AutoModel using FunctionGemma](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/function-calling.md): - [Multi-Turn Agent (Tool-Calling) SFT with NeMo AutoModel](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/agent-sft.md): End-to-end multi-turn, function-calling SFT on Qwen2.5-3B with the glaive_toolcall and SynthTraces datasets - [LLM Pre-Training with NeMo AutoModel](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/nanogpt-pretraining.md): - [DeepSeek-V4 Flash](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/deepseek-v4-flash.md): - [Hy3-preview](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/hy3-preview.md): - [Fine-Tune Nemotron-3-Ultra-550B](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/nemotron-3-ultra.md): End-to-end LoRA PEFT fine-tuning of Nemotron-3-Ultra-550B on HellaSwag using NeMo AutoModel on GB200 and H100. - [Fine-Tuning DiffusionGemma](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/diffusiongemma.md): Supervised fine-tuning of DiffusionGemma 26B-A4B with full SFT and LoRA on NeMo AutoModel. - [Fine-Tune Gemma 3 and Gemma 3n](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/gemma-3-3n.md): - [Fine-Tune Gemma 4 31B on CORD-v2 Receipts — End-to-End Guide](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/gemma-4.md): - [Fine-Tune Qwen3.5-VL](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/qwen3-5-vl.md): - [Fine-Tune Qwen3.8-27B](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/qwen3-8-27b.md): End-to-end full SFT and LoRA recipes for Qwen3.8-27B on MedPix-VQA. - [Nemotron-Omni](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/nemotron-omni.md): - [Mistral Medium 3.5 VL](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/mistral-medium-3-5.md): - [MiniMax-M3](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/minimax-m3.md) - [Fine-Tune Step-3.7-Flash](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/step-3-7.md): End-to-end SFT and LoRA setup for Stepfun AI's Step-3.7-Flash 198B-A13B MoE vision-language model. - [Fine-Tune Qwen3-Omni for ASR](https://docs.nvidia.com/nemo/automodel/latest/recipes-e2e-examples/qwen3-omni-asr.md): End-to-end ASR fine-tuning of Qwen3-Omni-30B on Hugging Face audio datasets with NeMo AutoModel.