Model Overview

The callaway/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, developed by callaway. It was fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model, leveraging Unsloth and Huggingface's TRL library for accelerated training. This specific training approach resulted in a 2x speed improvement during the fine-tuning process.

Key Characteristics

• Architecture: Qwen3
• Parameter Count: 2 billion
• Context Length: 32768 tokens
• Training Efficiency: Fine-tuned 2x faster using Unsloth and Huggingface's TRL library.

Potential Use Cases

Given its architecture and efficient training, this model is well-suited for applications that benefit from a compact yet capable language model with a substantial context window. Its fine-tuning process suggests an emphasis on performance and resource optimization, making it a candidate for deployment in environments where computational efficiency is critical.