Vigus555/functiongemma-270m-it-simple-tool-calling
Vigus555/functiongemma-270m-it-simple-tool-calling is a 0.3 billion parameter language model fine-tuned from Google's functiongemma-270m-it. This model, with a 32768 token context length, is specifically optimized for simple tool-calling tasks. It leverages the TRL framework for its training, making it suitable for applications requiring function-calling capabilities.
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Model Overview
This model, Vigus555/functiongemma-270m-it-simple-tool-calling, is a fine-tuned version of Google's functiongemma-270m-it model. With 0.3 billion parameters and a substantial 32768 token context length, it is designed for efficient processing of prompts requiring function-calling. The model's training utilized the TRL library, specifically employing Supervised Fine-Tuning (SFT) to adapt its capabilities.
Key Capabilities
- Function Calling: Optimized for interpreting user requests and identifying appropriate tools or functions to execute.
- Compact Size: At 0.3 billion parameters, it offers a lightweight solution for integration into various applications.
- Extended Context Window: Supports a 32768 token context, allowing for more complex and detailed input for tool-calling scenarios.
Good For
- Simple Tool-Calling Applications: Ideal for use cases where the model needs to select and invoke predefined functions based on user input.
- Resource-Constrained Environments: Its smaller parameter count makes it suitable for deployment in environments with limited computational resources.
- Rapid Prototyping: Enables quick development and testing of function-calling features due to its specialized fine-tuning.