Hees12/toolcalling-merged-demo
Hees12/toolcalling-merged-demo is a 2 billion parameter Qwen3-based language model developed by Hees12, fine-tuned for tool-calling capabilities. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. With a context length of 32768 tokens, it is designed for applications requiring efficient function calling and integration with external tools.
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Model Overview
Hees12/toolcalling-merged-demo is a 2 billion parameter Qwen3-based language model, developed by Hees12, specifically fine-tuned for tool-calling applications. This model leverages the Qwen3 architecture and was efficiently trained using the Unsloth library in conjunction with Huggingface's TRL library, resulting in a 2x faster fine-tuning process.
Key Capabilities
- Tool Calling: Optimized for integrating with external tools and executing functions based on natural language prompts.
- Efficient Fine-tuning: Benefits from Unsloth's optimizations for faster training, making it suitable for rapid iteration and deployment.
- Qwen3 Architecture: Built upon the robust Qwen3 foundation, providing strong language understanding capabilities.
Good For
- Developers building applications that require models to interact with APIs or external systems.
- Use cases involving function calling, agentic workflows, and automated task execution.
- Projects where efficient fine-tuning and deployment of tool-calling models are critical.