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.