README.md

---
license: cc
---
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)

# Fine-tuned Gemma with OpenAI Function Call Support

Finetuned version of [Gemma 7B Instruct ](https://huggingface.co/google/gemma-7b-it) to support direct function calling. This new capability aligns with the functionality seen in OpenAI's models, enabling Gemma to interact with external data sources and perform more complex tasks, such as fetching real-time information or integrating with custom databases for enriched AI-powered applications.

## Features

- **Direct Function Calls**: Gemma now supports structured function calls, allowing for the integration of external APIs and databases directly into the conversational flow. This makes it possible to execute custom searches, retrieve data from the web or specific databases, and even summarize or explain content in depth.

## Fine-tuned Quantization Models
**Updating**:


### Model Description

Gemma is a family of lightweight, state-of-the-art open models from Google,
built from the same research and technology used to create the Gemini models.
They are text-to-text, decoder-only large language models, available in English,
with open weights, pre-trained variants, and instruction-tuned variants. Gemma
models are well-suited for a variety of text generation tasks, including
question answering, summarization, and reasoning. Their relatively small size
makes it possible to deploy them in environments with limited resources such as
a laptop, desktop or your own cloud infrastructure, democratizing access to
state of the art AI models and helping foster innovation for everyone.