> 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-nemotron-embed-vl-1b-v2

> Extract multimodal embeddings with llama-nemotron-embed-vl-1b-v2 in NeMo AutoModel using the checked-in bi-encoder recipe and DDP.

[Llama-nemotron-embed-VL-1B-v2](https://huggingface.co/nvidia/llama-nemotron-embed-vl-1b-v2) has a checked-in NeMo AutoModel recipe for feature extraction.
The Hugging Face configuration declares the `LlamaNemotronVLModel` architecture.

## Fine-Tune Llama-nemotron-embed-VL-1B-v2

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

```bash
automodel examples/retrieval/bi_encoder/nemotron_vl_1b/nemotron_vl_1b_example.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/retrieval/bi_encoder/nemotron_vl_1b/nemotron_vl_1b_example.yaml). |
| Prepare your environment              | Follow the [installation instructions](/get-started/installation).                                                                                           |

### Configuration

| Setting  | Configuration                |
| -------- | ---------------------------- |
| Hardware | -                            |
| Strategy | DDP                          |
| Nodes    | 1                            |
| Features | Checkpointing (enabled=true) |
| Advanced | bfloat16                     |

## Model Reference

### Model Architecture

| Property     | Value                  |
| ------------ | ---------------------- |
| Task         | Feature extraction     |
| Architecture | `LlamaNemotronVLModel` |

### Available Models

* [`nvidia/llama-nemotron-embed-vl-1b-v2`](https://huggingface.co/nvidia/llama-nemotron-embed-vl-1b-v2)

## Related Resources

* [Installation instructions](/get-started/installation)