SmolQwen/functiongemma-270m-it-simple-tool-calling
SmolQwen/functiongemma-270m-it-simple-tool-calling is a 0.3 billion parameter instruction-tuned language model, fine-tuned from Google's functiongemma-270m-it. This model specializes in simple tool-calling tasks, leveraging its compact size for efficient deployment. It is designed for applications requiring lightweight, function-calling capabilities, making it suitable for integration into resource-constrained environments or specific automation workflows. The model was trained using the TRL framework.
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Overview
SmolQwen/functiongemma-270m-it-simple-tool-calling is a compact 0.3 billion parameter language model, fine-tuned from Google's functiongemma-270m-it. This model has been specifically trained using the TRL framework to excel at simple tool-calling tasks.
Key Capabilities
- Efficient Tool Calling: Optimized for understanding and executing simple function calls based on user prompts.
- Lightweight Deployment: Its small parameter count (0.3B) makes it suitable for environments with limited computational resources.
- Instruction Following: Inherits strong instruction-following capabilities from its base model, enhanced for tool-use scenarios.
Good For
- Automated Workflows: Integrating basic function execution into automated systems.
- Edge Devices: Deploying tool-calling capabilities on devices with constrained memory and processing power.
- Rapid Prototyping: Quickly developing and testing applications that require simple external tool interactions.