> 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.

# LLaVA-OneVision-1.5-8B-Instruct

> Use NeMo AutoModel to fine-tune LLaVA-OneVision-1.5-8B-Instruct for VLM workflows with checked-in image-text-to-text recipes and documented distributed settings.

[LLaVA-OneVision-1.5-8B-Instruct](https://huggingface.co/lmms-lab/LLaVA-OneVision-1.5-8B-Instruct) has a checked-in NeMo AutoModel recipe for image-text-to-text.
The Hugging Face configuration declares the `LLaVAOneVision1_5_ForConditionalGeneration` architecture.

## Fine-Tune LLaVA-OneVision-1.5-8B-Instruct

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

```bash
automodel examples/vlm_finetune/llava_onevision/llava_ov_1_5_8b_lora.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/vlm_finetune/llava_onevision/llava_ov_1_5_8b_lora.yaml). |
| Prepare your environment              | Follow the [installation instructions](/get-started/installation).                                                                                  |

### Configuration

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

## Model Reference

### Model Architecture

| Property     | Value                                        |
| ------------ | -------------------------------------------- |
| Task         | Image-text-to-text                           |
| Architecture | `LLaVAOneVision1_5_ForConditionalGeneration` |

### Available Models

* [`lmms-lab/LLaVA-OneVision-1.5-8B-Instruct`](https://huggingface.co/lmms-lab/LLaVA-OneVision-1.5-8B-Instruct)

## Related Resources

* [Vision-language model fine-tuning guide](/recipes-e2e-examples/gemma-3-3n)