c3llo-moon/toolcalling-merged-demo
The c3llo-moon/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model, developed by c3llo-moon. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is specifically optimized for tool-calling capabilities, making it suitable for applications requiring function invocation and structured output.
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Model Overview
The c3llo-moon/toolcalling-merged-demo is a 2 billion parameter language model based on the Qwen3 architecture. Developed by c3llo-moon, this model has been fine-tuned to enhance its capabilities, particularly in the domain of tool calling.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-1.7B-unsloth-bnb-4bit, indicating an efficient training process. - Training Efficiency: Leverages Unsloth and Huggingface's TRL library for significantly faster training, as highlighted by the developer.
- Parameter Count: Features 2 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining conversational coherence.
Primary Use Case
This model is specifically designed and optimized for tool-calling applications. Its fine-tuning focuses on enabling the model to understand and generate structured calls to external functions or APIs, making it ideal for:
- Automated Workflows: Integrating with external systems and services.
- Agentic AI Systems: Developing AI agents that can interact with tools to perform tasks.
- Structured Output Generation: Producing outputs that conform to predefined schemas for function invocation.