> ## 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.configs.function gemma config

<a id="camel.configs.function_gemma_config" />

<a id="camel.configs.function_gemma_config.FunctionGemmaConfig" />

## FunctionGemmaConfig

```python theme={"system"}
class FunctionGemmaConfig(BaseConfig):
```

Defines the parameters for generating completions using FunctionGemma
via Ollama's native API.

FunctionGemma uses a custom chat template format for function calling
that differs from OpenAI's format. This config is used with Ollama's
/api/generate endpoint.

Reference: [https://github.com/ollama/ollama/blob/main/docs/api.md](https://github.com/ollama/ollama/blob/main/docs/api.md)

**Parameters:**

* **temperature** (float, optional): Sampling temperature to use, between :obj:`0` and :obj:`2`. Higher values make the output more random, while lower values make it more focused and deterministic. (default: :obj:`None`)
* **top\_p** (float, optional): An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top\_p probability mass. (default: :obj:`0.95`)
* **top\_k** (int, optional): Limits the next token selection to the K most probable tokens. (default: :obj:`64`)
* **num\_predict** (int, optional): Maximum number of tokens to generate. (default: :obj:`None`)
* **stop** (list, optional): Sequences where the model will stop generating further tokens. (default: :obj:`None`)
* **seed** (int, optional): Random seed for reproducibility. (default: :obj:`None`)