Model Overview

KishoreK/ActionGemma-9B is a 9 billion parameter Large Action Model (LAM) that integrates the multilingual strengths of the Gemma2-9B-it base model with advanced function calling capabilities. It was fine-tuned using the xLAM dataset, which is designed to imbue models with the ability to understand and execute tool calls.

Key Capabilities

• Multilingual Function Calling: The model excels at interpreting user queries and making appropriate function calls in multiple languages, leveraging Gemma2's inherent multilingual support.
• Tool Use Integration: It is specifically trained to handle tool definitions and generate structured function calls, as demonstrated by its ability to parse and respond to API schemas (e.g., get_weather, search).
• Customizable Chat Template: The model provides a flexible chat template that allows developers to define system instructions, user queries, and available tools, facilitating dynamic interaction with external functions.

Good for

• Building Multilingual AI Assistants: Ideal for creating chatbots or agents that need to perform actions or retrieve information using external APIs across different languages.
• Automating Tasks with Function Calls: Suitable for applications requiring the model to interact with various tools or services based on user intent.
• Research in Large Action Models: Provides a foundation for further exploration and development in the field of models capable of complex action sequencing and tool use.