Model Overview

min1122/toolcalling-merged-demo is a 2 billion parameter language model based on the Qwen3 architecture. It was developed by min1122 and fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which facilitated a significantly faster training time.

Key Characteristics

• Architecture: Qwen3
• Parameters: 2 billion
• Context Length: 32768 tokens
• Training Method: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.

Potential Use Cases

This model is suitable for various natural language processing tasks, benefiting from its Qwen3 foundation and efficient fine-tuning. Its 32768 token context length allows for processing longer inputs and generating more coherent and extended responses.