Overview

The starcoding/toolcalling-merged-demo is a 2 billion parameter language model based on the Qwen3 architecture. Developed by starcoding, this model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process. It is released under the Apache-2.0 license.

Key Characteristics

• Base Model: Fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit.
• Parameter Count: 2 billion parameters.
• Training Efficiency: Utilizes Unsloth for accelerated fine-tuning.
• License: Apache-2.0, allowing for broad use and distribution.

Potential Use Cases

This model is suitable for a variety of general language understanding and generation tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its smaller size (2B parameters) makes it a good candidate for applications where computational resources are a consideration, while still offering solid performance for common NLP tasks.