> This page is for version 0.7.0 · 26.10.
> For other versions, use one of these documentation indexes:
> - Nightly (default): https://docs.nvidia.com/nemo/automodel/nightly/llms.txt
> - Latest: https://docs.nvidia.com/nemo/automodel/latest/llms.txt
> - 0.7.0 · 26.10: https://docs.nvidia.com/nemo/automodel/v0.7/llms.txt
> - 0.5.0 · 26.06: https://docs.nvidia.com/nemo/automodel/v0.5/llms.txt
> - 0.4.0 · 26.04: https://docs.nvidia.com/nemo/automodel/v0.4/llms.txt

> 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.

# Omni Models

Omni models go beyond image-text understanding to support additional modalities such as audio, video, or a combination of all — text, image, audio, and video in a single unified model.

## Run Omni Models with NeMo AutoModel

To run omni models with NeMo AutoModel, use NeMo container version [`26.10.00`](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/nemo-automodel?version=26.10.00) or later. If the model you want to fine-tune requires newer source than the container provides, use a current checkout so the package and its example recipes stay on one revision:

```bash
git clone https://github.com/NVIDIA-NeMo/Automodel.git
cd Automodel
uv sync --locked --all-groups --all-extras --extra vlm-media
```

For other installation options, see our [NeMo AutoModel Installation Guide](/nemo/automodel/v0.7/get-started/installation).

> **Note**
>
> Omni models such as Qwen3-Omni need the `vlm-media` extra included in the source-sync command above for video/vision preprocessing; it is not installed in the Docker container by default. See [Media Extras](/nemo/automodel/v0.7/get-started/installation#media-extras-video--image-decode).

> **Info**
>
> **Automatic speech recognition:** Qwen2.5-Omni and Qwen3-Omni support
> supervised ASR fine-tuning on Hugging Face audio datasets. See the
> [Qwen3-Omni ASR fine-tuning guide](/nemo/automodel/v0.7/recipes-e2e-examples/qwen3-omni-asr) and
> the ASR recipes on the model cards below.

## Supported Models

This table combines recipe-backed checkpoints with documented model families. Dates show when the current checkpoint first appeared in a recipe, or when a documentation-only family page was added. See the [combined model support log](/nemo/automodel/v0.7/model-coverage/release-log) for recipe-backed checkpoints of every model type.

## Fine-Tune Omni Models

All supported omni models can be fine-tuned using full SFT or PEFT (LoRA) approaches. See the [VLM Fine-Tuning Guide](/nemo/automodel/v0.7/recipes-e2e-examples/gemma-3-3n) for general setup instructions.