innocent136/toolcalling-merged-demo
The innocent136/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by innocent136, fine-tuned for tool-calling capabilities. This model was efficiently trained using Unsloth and Huggingface's TRL library, offering a specialized solution for integrating external tools. With a 32768 token context length, it is designed for applications requiring robust function calling and interaction with APIs.
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Model Overview
The innocent136/toolcalling-merged-demo is a 2 billion parameter Qwen3-based model developed by innocent136. It has been specifically fine-tuned to excel in tool-calling scenarios, enabling it to interact with external functions and APIs effectively. The model leverages a substantial 32768 token context length, allowing for complex instructions and multi-turn interactions.
Key Capabilities
- Tool Calling: Optimized for understanding and generating calls to external tools or functions.
- Efficient Training: Fine-tuned using Unsloth and Huggingface's TRL library, indicating an efficient training process.
- Qwen3 Architecture: Built upon the Qwen3 model family, providing a strong foundation for language understanding and generation.
Good For
- Applications requiring models to interact with external systems or APIs.
- Developing agents that can perform actions based on user prompts.
- Scenarios where efficient fine-tuning and a large context window for tool-use instructions are beneficial.