callaway/toolcalling-merged-demo
The callaway/toolcalling-merged-demo is a 2 billion parameter Qwen3 model developed by callaway, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It features a 32768 token context length, making it suitable for applications requiring efficient processing of long sequences.
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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.