> 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.

# Llama-3_3-Nemotron-Super-49B-v1

> Reference Llama-3_3-Nemotron-Super-49B-v1 checkpoint and architecture details for NeMo AutoModel, with model-family information, setup guidance, and upstream resources.

[Llama-3.3-Nemotron-Super-49B-v1](https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1) is a NVIDIA model derived from Llama-3.1-70B through Neural Architecture Search (NAS)-based pruning and knowledge distillation, resulting in a 49B model with strong reasoning capabilities. It uses the `DeciLMForCausalLM` architecture.

Use this page as a checkpoint and architecture reference. Set up NeMo AutoModel with the
[latest container](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-automodel) or follow the
[installation instructions](/get-started/installation).

## Model Reference

### Model Architecture

| Property                  | Value                                   |
| ------------------------- | --------------------------------------- |
| Task                      | Text Generation                         |
| Architecture              | `DeciLMForCausalLM`                     |
| Parameters                | 49B                                     |
| Hugging Face Organization | [nvidia](https://huggingface.co/nvidia) |

### Available Models

| Model                           | HF ID                                                                                                     |
| ------------------------------- | --------------------------------------------------------------------------------------------------------- |
| Llama-3.3-Nemotron-Super-49B-v1 | [`nvidia/Llama-3_3-Nemotron-Super-49B-v1`](https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1) |

## Related Resources

* [LLM Fine-Tuning Guide](/recipes-e2e-examples/sft-peft)