> 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.

# nemo_automodel.components.models.qwen3_omni_moe.state_dict_adapter

## Module Contents

### Classes

| Name                                                                                                                               | Description                                                                     |
| ---------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- |
| [`Qwen3OmniMoeStateDictAdapter`](#nemo_automodel-components-models-qwen3_omni_moe-state_dict_adapter-Qwen3OmniMoeStateDictAdapter) | Converts between HF Qwen3OmniMoe checkpoints and grouped-experts native format. |

### Data

[`logger`](#nemo_automodel-components-models-qwen3_omni_moe-state_dict_adapter-logger)

### API

```python
class nemo_automodel.components.models.qwen3_omni_moe.state_dict_adapter.Qwen3OmniMoeStateDictAdapter(
    config: typing.Any,
    moe_config: nemo_automodel.components.moe.config.MoEConfig,
    backend: nemo_automodel.components.models.common.BackendConfig,
    dtype: torch.dtype = torch.float32
)
```

**Bases:** [MoESplitExpertsStateDictMixin](/nemo-automodel/nemo_automodel/components/moe/state_dict_mixin#nemo_automodel-components-moe-state_dict_mixin-MoESplitExpertsStateDictMixin), [StateDictAdapter](/nemo-automodel/nemo_automodel/components/checkpoint/state_dict_adapter#nemo_automodel-components-checkpoint-state_dict_adapter-StateDictAdapter)

Converts between HF Qwen3OmniMoe checkpoints and grouped-experts native format.

```python
nemo_automodel.components.models.qwen3_omni_moe.state_dict_adapter.Qwen3OmniMoeStateDictAdapter.convert_single_tensor_to_hf(
    fqn: str,
    tensor: typing.Any,
    kwargs = {}
) -> list[tuple[str, typing.Any]]
```

```python
nemo_automodel.components.models.qwen3_omni_moe.state_dict_adapter.Qwen3OmniMoeStateDictAdapter.from_hf(
    hf_state_dict: dict[str, typing.Any],
    device_mesh: typing.Optional[torch.distributed.device_mesh.DeviceMesh] = None,
    kwargs = {}
) -> dict[str, typing.Any]
```

```python
nemo_automodel.components.models.qwen3_omni_moe.state_dict_adapter.Qwen3OmniMoeStateDictAdapter.to_hf(
    state_dict: dict[str, typing.Any],
    exclude_key_regex: typing.Optional[str] = None,
    quantization: bool = False,
    kwargs = {}
) -> dict[str, typing.Any]
```

```python
nemo_automodel.components.models.qwen3_omni_moe.state_dict_adapter.logger = logging.getLogger(__name__)
```