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# nemo_automodel.components.models.qwen3_next.state_dict_adapter

## Module Contents

### Classes

| Name                                                                                                                     | Description                                                                      |
| ------------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------- |
| [`Qwen3NextStateDictAdapter`](#nemo_automodel-components-models-qwen3_next-state_dict_adapter-Qwen3NextStateDictAdapter) | Converts between HF Qwen3Next checkpoints and our grouped-experts native format. |

### Data

[`logger`](#nemo_automodel-components-models-qwen3_next-state_dict_adapter-logger)

### API

```python
class nemo_automodel.components.models.qwen3_next.state_dict_adapter.Qwen3NextStateDictAdapter(
    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 Qwen3Next checkpoints and our grouped-experts native format.

```python
nemo_automodel.components.models.qwen3_next.state_dict_adapter.Qwen3NextStateDictAdapter._apply_key_mapping(
    state_dict: dict[str, typing.Any],
    mapping: dict[str, str]
) -> dict[str, typing.Any]
```

Apply key substring mappings to state dict keys.

**Parameters:**

State dict to apply mappings to

Dictionary mapping substrings to replace them with

**Returns:** `dict[str, Any]`

New state dict with mapped keys

```python
nemo_automodel.components.models.qwen3_next.state_dict_adapter.Qwen3NextStateDictAdapter.convert_single_tensor_to_hf(
    fqn: str,
    tensor: typing.Any,
    kwargs = {}
) -> list[tuple[str, typing.Any]]
```

Convert a single tensor from native format to HuggingFace format.

**Parameters:**

Fully qualified name of the tensor in native format

The tensor to convert

Additional arguments for conversion

**Returns:** `list[tuple[str, Any]]`

List of (fqn, tensor) tuples in HuggingFace format

```python
nemo_automodel.components.models.qwen3_next.state_dict_adapter.Qwen3NextStateDictAdapter.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_next.state_dict_adapter.Qwen3NextStateDictAdapter.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_next.state_dict_adapter.logger = logging.getLogger(__name__)
```