min1122/toolcalling-merged-demo
min1122/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, developed by min1122, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language tasks, leveraging its Qwen3 architecture and 32768 token context length.
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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.