janyty/browsertools-functiongemma-270m
janyty/browsertools-functiongemma-270m is a 0.3 billion parameter language model fine-tuned from google/functiongemma-270m-it. This model specializes in function calling and tool use, leveraging its base architecture for efficient integration into browser-based applications. It was trained using the TRL framework, making it suitable for tasks requiring structured output and interaction with external tools.
Loading preview...
Model Overview
janyty/browsertools-functiongemma-270m is a specialized language model, fine-tuned from the google/functiongemma-270m-it base model. With 0.3 billion parameters and a context length of 32768 tokens, it is designed for efficient performance in browser environments.
Key Capabilities
- Function Calling: Optimized for generating structured outputs that can be interpreted as function calls.
- Tool Use: Facilitates interaction with external tools and APIs by understanding and formulating appropriate requests.
- Efficient Deployment: Its compact size makes it suitable for applications where computational resources are limited, such as client-side browser tools.
Training Details
The model was trained using the TRL (Transformers Reinforcement Learning) library, specifically employing a Supervised Fine-Tuning (SFT) approach. This training methodology helps in aligning the model's outputs with desired function-calling formats.
Good For
- Browser-based applications: Ideal for integrating AI capabilities directly into web browsers.
- Automated task execution: Can be used to trigger specific actions or interact with web services based on natural language prompts.
- Structured output generation: Excels in scenarios requiring precise, machine-readable outputs for tool invocation.