> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Camel.models.reward.nemotron model

<a id="camel.models.reward.nemotron_model" />

<a id="camel.models.reward.nemotron_model.NemotronRewardModel" />

## NemotronRewardModel

```python theme={"system"}
class NemotronRewardModel(BaseRewardModel):
```

Reward model based on the Nemotron model with OpenAI compatibility.

**Parameters:**

* **model\_type** (Union\[ModelType, str]): Model for which a backend is created.
* **api\_key** (Optional\[str], optional): The API key for authenticating with the model service. (default: :obj:`None`)
* **url** (Optional\[str], optional): The url to the model service.

**Note:**

The Nemotron model does not support model config.

<a id="camel.models.reward.nemotron_model.NemotronRewardModel.__init__" />

### **init**

```python theme={"system"}
def __init__(
    self,
    model_type: Union[ModelType, str],
    api_key: Optional[str] = None,
    url: Optional[str] = None
):
```

<a id="camel.models.reward.nemotron_model.NemotronRewardModel.evaluate" />

### evaluate

```python theme={"system"}
def evaluate(self, messages: List[Dict[str, str]]):
```

Evaluate the messages using the Nemotron model.

**Parameters:**

* **messages** (List\[Dict\[str, str]]): A list of messages where each message is a dictionary format.

**Returns:**

Dict\[str, float]:  A dictionary mapping score types to their
values.

<a id="camel.models.reward.nemotron_model.NemotronRewardModel.get_scores_types" />

### get\_scores\_types

```python theme={"system"}
def get_scores_types(self):
```

**Returns:**

List\[str]: A list of score types that the reward model can return.

<a id="camel.models.reward.nemotron_model.NemotronRewardModel._parse_scores" />

### \_parse\_scores

```python theme={"system"}
def _parse_scores(self, response: ChatCompletion):
```

Parse the scores from the response.

**Parameters:**

* **response** (ChatCompletion): A ChatCompletion object with the scores.

**Returns:**

Dict\[str, float]: A dictionary mapping score types to their values.