Yebin46/toolcalling-merged-demo
Yebin46/toolcalling-merged-demo is a 2 billion parameter Qwen3 causal language model developed by Yebin46. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.
Loading preview...
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.