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> For a complete documentation index, see https://docs.nvidia.com/nemo/automodel/llms.txt.
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# nemo_automodel.components.models.hy_mt2.dispatch

Config-shape fingerprint that distinguishes Hy-MT2-30B-A3B from Hy3-preview.

Tencent ships both checkpoints with `architectures: ["HYV3ForCausalLM"]` and
`model_type: "hy_v3"` even though the two models differ substantially
(48 vs 80 layers, 128 vs 192 experts, hidden 2048 vs 4096, etc.). The
auto-resolver in `_transformers/model_init.py` looks up the fingerprint here
so all Hy-MT2-specific knowledge stays inside this module.

## Module Contents

### Functions

| Name                                                                                     | Description                                                            |
| ---------------------------------------------------------------------------------------- | ---------------------------------------------------------------------- |
| [`is_hy_mt2_config`](#nemo_automodel-components-models-hy_mt2-dispatch-is_hy_mt2_config) | Return whether *config* describes Tencent's Hy-MT2-30B-A3B checkpoint. |

### API

```python
nemo_automodel.components.models.hy_mt2.dispatch.is_hy_mt2_config(
    config: typing.Any
) -> bool
```

Return whether *config* describes Tencent's Hy-MT2-30B-A3B checkpoint.