JihoonKim5484/toolcalling-merged-demo
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Mar 26, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
JihoonKim5484/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, developed by JihoonKim5484, fine-tuned for tool-calling capabilities. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It offers a 32768 token context length and is optimized for applications requiring efficient function calling.
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Model Overview
JihoonKim5484/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, fine-tuned by JihoonKim5484. This model is specifically designed for tool-calling applications, allowing it to interact with external functions and APIs.
Key Capabilities
- Efficient Tool Calling: Optimized to understand and execute function calls based on user prompts.
- Faster Fine-tuning: Leverages Unsloth and Huggingface's TRL library for accelerated training, making it efficient to adapt for specific use cases.
- Qwen3 Architecture: Built upon the Qwen3 base model, providing a strong foundation for language understanding and generation.
Good For
- Function Calling Applications: Ideal for integrating with external tools, APIs, and services.
- Agentic Workflows: Suitable for building AI agents that can perform actions by calling predefined functions.
- Rapid Prototyping: The use of Unsloth enables quicker iteration and deployment of fine-tuned models for tool-calling tasks.