Model Overview

The ki-woong/toolcalling-merged-demo is a 2 billion parameter language model based on the Qwen3 architecture, developed by ki-woong. It was fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit model, leveraging Unsloth and Huggingface's TRL library for enhanced training efficiency.

Key Characteristics

• Architecture: Qwen3-based, providing a robust foundation for language tasks.
• Parameter Count: 2 billion parameters, offering a balance between performance and computational requirements.
• Context Length: Supports a substantial context window of 32768 tokens, suitable for processing longer inputs.
• Training Efficiency: Benefits from Unsloth, enabling 2x faster fine-tuning compared to standard methods.
• License: Released under the Apache-2.0 license, promoting open and flexible use.

Good For

• Rapid Prototyping: Ideal for developers looking to quickly fine-tune and deploy Qwen3-based models.
• Resource-Efficient Fine-tuning: Suitable for projects where training speed and computational cost are critical considerations.
• Applications requiring Qwen3 capabilities: Can be used as a base for various NLP tasks that benefit from the Qwen3 model's strengths.