Overview

The geeaccount/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model. Developed by geeaccount, this model was fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit.

Key Capabilities

• Efficient Fine-tuning: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x speedup in the training process.
• Qwen3 Architecture: Leverages the robust Qwen3 architecture, providing a strong foundation for various natural language processing tasks.
• General Purpose: Suitable for a range of applications requiring a 2B parameter language model.

Good For

• Developers looking for a Qwen3 model that has undergone efficient fine-tuning.
• Experimentation with models trained using Unsloth's accelerated training techniques.
• General text generation and understanding tasks where a 2B parameter model is appropriate.