> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/automodel/_mcp/server.

# NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

> Use NeMo AutoModel to fine-tune NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16 for LLM workflows with checked-in text generation recipes and documented distributed settings.

[NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `NemotronHForCausalLM` architecture.

## Fine-Tune NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16

Follow the [installation instructions](/get-started/installation), then run the recipe from the repository root:

```bash
automodel examples/llm_finetune/nemotron/nemotron_nano_v3_5_lightning_hellaswag_peft.yaml --nproc-per-node 8
```

## Choose a Workflow

| Goal                                         | Start Here                                                                                                                                                          |
| -------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Run the primary recipe for this model        | Use the [recipe configuration](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron/nemotron_nano_v3_5_lightning_hellaswag_peft.yaml). |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron/nemotron_nano_v3_5_lightning_singlegpu_lora.yaml).     |

### Configuration

| Setting  | Configuration                                                                      |
| -------- | ---------------------------------------------------------------------------------- |
| Hardware | -                                                                                  |
| Strategy | FSDP2; tp\_size=1, cp\_size=1, ep\_size=8                                          |
| Nodes    | 1                                                                                  |
| Features | Checkpointing (enabled=true), LoRA, Transformer Engine, DeepEP (dispatcher=deepep) |
| Advanced | attention=te, linear=te, experts=gmm, dispatcher=deepep                            |

### More Recipes for This Model

* [`nemotron_nano_v3_5_lightning_singlegpu_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron/nemotron_nano_v3_5_lightning_singlegpu_lora.yaml)

## Model Reference

### Model Architecture

| Property     | Value                  |
| ------------ | ---------------------- |
| Task         | Text generation        |
| Architecture | `NemotronHForCausalLM` |

### Available Models

* [`nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16`](https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16)

## Related Resources

* [LLM fine-tuning guide](/recipes-e2e-examples/sft-peft)