Model Overview

Yebin46/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, fine-tuned by Yebin46. This model was developed using the Unsloth library in conjunction with Huggingface's TRL library, which significantly accelerated its training process, achieving a 2x speed improvement.

Key Characteristics

• Architecture: Based on the Qwen3 model family.
• Parameter Count: 2 billion parameters, offering a balance between performance and computational efficiency.
• Training Efficiency: Leverages Unsloth for faster fine-tuning, making it an efficient choice for deployment.
• Context Length: Supports a context window of 32768 tokens.

Use Cases

This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Qwen3 base and optimized training. Its efficient fine-tuning process suggests it could be a good candidate for applications where rapid iteration and deployment are important.