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> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
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# NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16

> Use NeMo AutoModel to fine-tune NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 for LLM workflows with checked-in text generation recipes and documented distributed settings.

[NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16) has a checked-in NeMo AutoModel recipe for text generation.
The Hugging Face configuration declares the `NemotronHForCausalLM` architecture.

## Fine-Tune NVIDIA-Nemotron-3-Ultra-550B-A55B-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_ultra_v3_squad.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_ultra_v3_te_deepep.yaml). |

### Configuration

| Setting  | Configuration                                                                                                                                                                               |
| -------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Hardware | -                                                                                                                                                                                           |
| Strategy | FSDP2; tp\_size=1, pp\_size=4, cp\_size=1, ep\_size=64                                                                                                                                      |
| Nodes    | 32                                                                                                                                                                                          |
| Features | Checkpointing (enabled=true), Activation checkpointing (activation\_checkpointing=true), Packed sequences (packed\_sequence\_size=4096), Transformer Engine, HybridEP (dispatcher=hybridep) |
| Advanced | attention=te, linear=te, experts=gmm, dispatcher=hybridep                                                                                                                                   |

### More Recipes for This Model

* [`nemotron_ultra_v3_te_deepep.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_benchmark/nemotron/nemotron_ultra_v3_te_deepep.yaml)
* [`nemotron_ultra_v3_hellaswag_peft.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron/nemotron_ultra_v3_hellaswag_peft.yaml)
* [`nemotron_ultra_v3_hellaswag_peft_gb200.yaml`](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/llm_finetune/nemotron/nemotron_ultra_v3_hellaswag_peft_gb200.yaml)

## Model Reference

### Model Architecture

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

### Available Models

* [`nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16`](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16)

## Related Resources

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