> 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-Super-120B-A12B-BF16

> Use NeMo AutoModel to fine-tune NVIDIA-Nemotron-3-Super-120B-A12B-BF16 for LLM workflows with checked-in text generation recipes and documented distributed settings.

[NVIDIA-Nemotron-3-Super-120B-A12B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `NemotronHForCausalLM` architecture.

## Fine-Tune NVIDIA-Nemotron-3-Super-120B-A12B-BF16

Follow the [installation instructions](/get-started/installation), then review the checked-in recipe and
its declared topology below before choosing a local or cluster launcher.

Use the [Slurm launcher guide](/job-launchers/slurm-cluster) for the multi-node run.

## 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_super_v3_hellaswag.yaml). |
| Try another checked-in recipe for this model | Use the [alternate recipe](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/nemotron/nemotron_super_v3_lora.yaml).         |

### Configuration

| Setting  | Configuration                              |
| -------- | ------------------------------------------ |
| Hardware | -                                          |
| Strategy | FSDP2; tp\_size=1, cp\_size=1, ep\_size=32 |
| Nodes    | 4                                          |
| Features | Checkpointing (enabled=true)               |
| Advanced | -                                          |

### More Recipes for This Model

* [`nemotron_super_v3_lora.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/nemotron/nemotron_super_v3_lora.yaml)
* [`nemotron_super_v3_te_deepep.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/nemotron/nemotron_super_v3_te_deepep.yaml)
* [`nemotron_super_v3_hellaswag_peft.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron/nemotron_super_v3_hellaswag_peft.yaml)

## Model Reference

### Model Architecture

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

### Available Models

* [`nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16`](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16)

## Related Resources

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