---
title: "Nemotron-Parse"
description: ""
---
[Nemotron-Parse-v1.1](https://huggingface.co/nvidia/NVIDIA-Nemotron-Parse-v1.1) is NVIDIA's document parsing VLM, specializing in extracting structured information from complex documents including tables, forms, and mixed-content PDFs.

<Info>

| | |
|---|---|
| **Task** | Document Parsing |
| **Architecture** | `NemotronParseForConditionalGeneration` |
| **Parameters** | varies |
| **HF Org** | [nvidia](https://huggingface.co/nvidia) |

</Info>

## Available Models

- **Nemotron-Parse-v1.1**

## Architecture

- `NemotronParseForConditionalGeneration`

## Example HF Models

| Model | HF ID |
|---|---|
| Nemotron-Parse v1.1 | [`nvidia/NVIDIA-Nemotron-Parse-v1.1`](https://huggingface.co/nvidia/NVIDIA-Nemotron-Parse-v1.1) |

## Example Recipes

| Recipe | Dataset | Description | Try on Brev |
|---|---|---|---|
| [nemotron_parse_v1_1.yaml](https://github.com/NVIDIA-NeMo/Automodel/blob/main/examples/vlm_finetune/nemotron/nemotron_parse_v1_1.yaml) | cord-v2 | SFT — Nemotron-Parse on CORD-v2 | [![Launch on Brev](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://brev.nvidia.com/launchable/deploy/now?launchableID=env-3C6LDKU2DfOvpVTFhjw3YQ4djPM) |

## Try with NeMo AutoModel

**1. Install** ([full instructions](/get-started/installation)):

```bash
pip install nemo-automodel
```

**2. Clone the repo** to get the example recipes:

```bash
git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel
```

**3. Run the recipe** from inside the repo:

```bash
automodel --nproc-per-node=8 examples/vlm_finetune/nemotron/nemotron_parse_v1_1.yaml
```

<Accordion title="Run with Docker">
**1. Pull the container** and mount a checkpoint directory:

```bash
docker run --gpus all -it --rm \
  --shm-size=8g \
  -v $(pwd)/checkpoints:/opt/Automodel/checkpoints \
  nvcr.io/nvidia/nemo-automodel:26.02.00
```

**2.** Navigate to the AutoModel directory (where the recipes are):

```bash
cd /opt/Automodel
```

**3. Run the recipe**:

```bash
automodel --nproc-per-node=8 examples/vlm_finetune/nemotron/nemotron_parse_v1_1.yaml
```
</Accordion>

See the [Installation Guide](/get-started/installation) and [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n).

## Fine-Tuning Tutorial on Brev

Launch the end-to-end Nemotron Parse fine-tuning tutorial on Brev with a single click:

[![Launch on Brev](https://brev-assets.s3.us-west-1.amazonaws.com/nv-lb-dark.svg)](https://brev.nvidia.com/launchable/deploy/now?launchableID=env-3C6LDKU2DfOvpVTFhjw3YQ4djPM)

See also the [tutorial notebook](https://github.com/NVIDIA-NeMo/Automodel/blob/main/tutorials/nemotron-parse/finetune.ipynb) and the [VLM Fine-Tuning Guide](/recipes-e2e-examples/gemma-3-3n).

## Hugging Face Model Cards

- [nvidia/NVIDIA-Nemotron-Parse-v1.1](https://huggingface.co/nvidia/NVIDIA-Nemotron-Parse-v1.1)
