foxandabarat/functiongemma-270m-it-simple-tool-calling
The foxandabarat/functiongemma-270m-it-simple-tool-calling model is a 0.3 billion parameter instruction-tuned language model, fine-tuned from Google's functiongemma-270m-it. It specializes in simple tool-calling capabilities, making it suitable for applications requiring basic function invocation. This model was trained using the TRL framework, focusing on enabling straightforward interaction with external tools.
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Overview
This model, foxandabarat/functiongemma-270m-it-simple-tool-calling, is a specialized variant of Google's functiongemma-270m-it model, featuring 0.3 billion parameters. It has been fine-tuned specifically for simple tool-calling functionalities, enabling it to interpret user requests and invoke predefined functions or tools. The training was conducted using the TRL library, which is designed for Transformer Reinforcement Learning.
Key Capabilities
- Simple Tool Calling: Designed to understand and execute basic tool-use instructions.
- Instruction Following: Inherits instruction-tuning capabilities from its base model.
- Compact Size: With 0.3 billion parameters, it offers a lightweight solution for tool-calling tasks.
Good For
- Applications requiring straightforward function invocation based on natural language prompts.
- Edge deployments or scenarios where computational resources are limited but tool-calling is essential.
- Prototyping and developing basic agentic workflows where a small, focused model is advantageous.