> 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.deepseek_v3.layers

## Module Contents

### Classes

| Name                                                              | Description |
| ----------------------------------------------------------------- | ----------- |
| [`MLA`](#nemo_automodel-components-models-deepseek_v3-layers-MLA) | -           |

### Data

[`logger`](#nemo_automodel-components-models-deepseek_v3-layers-logger)

### API

```python
class nemo_automodel.components.models.deepseek_v3.layers.MLA(
    config: transformers.models.deepseek_v3.configuration_deepseek_v3.DeepseekV3Config,
    backend: nemo_automodel.components.models.common.BackendConfig
)
```

**Bases:** `Module`

```python
nemo_automodel.components.models.deepseek_v3.layers.MLA._forward_impl(
    x: torch.Tensor,
    freqs_cis: torch.Tensor,
    attention_mask: torch.Tensor | None = None,
    attn_kwargs: typing.Any = {}
)
```

```python
nemo_automodel.components.models.deepseek_v3.layers.MLA.forward(
    x: torch.Tensor,
    freqs_cis: torch.Tensor,
    attention_mask: torch.Tensor | None = None,
    attn_kwargs: typing.Any = {}
)
```

```python
nemo_automodel.components.models.deepseek_v3.layers.MLA.init_weights(
    buffer_device: torch.device,
    init_std: float = 0.02
)
```

```python
nemo_automodel.components.models.deepseek_v3.layers.logger = logging.getLogger(__name__)
```