sbeechoi/toolcalling-merged-demo
TEXT GENERATIONConcurrency Cost:1Model Size:2BQuant:BF16Ctx Length:32kPublished:Apr 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The sbeechoi/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, finetuned by sbeechoi, optimized for tool-calling capabilities. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. With a 32768 token context length, it is designed for efficient integration into applications requiring function calling and structured output.
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Model Overview
The sbeechoi/toolcalling-merged-demo is a 2 billion parameter Qwen3 model developed by sbeechoi. It was finetuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model, leveraging Unsloth and Huggingface's TRL library for accelerated training. This approach enabled the model to be trained 2x faster than conventional methods.
Key Capabilities
- Efficient Training: Utilizes Unsloth for significantly faster finetuning.
- Tool Calling: Optimized for function calling and generating structured outputs, making it suitable for agentic workflows.
- Qwen3 Architecture: Benefits from the robust Qwen3 base model characteristics.
Good For
- Applications requiring efficient tool-calling capabilities.
- Developers looking for a Qwen3-based model with accelerated training benefits.
- Integration into systems where structured output and function execution are critical.