puresoulwd/toolcalling-merged-demo
The puresoulwd/toolcalling-merged-demo is a 2 billion parameter Qwen3-based causal language model developed by puresoulwd. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. With a 32768 token context length, it is optimized for specific tasks, leveraging its efficient fine-tuning process.
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Model Overview
The puresoulwd/toolcalling-merged-demo is a 2 billion parameter language model, fine-tuned by puresoulwd. It is based on the Qwen3 architecture and was developed with a focus on efficient training.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-1.7B-unsloth-bnb-4bit. - Efficient Training: Leverages Unsloth and Huggingface's TRL library for significantly faster training times.
- Parameter Count: Features 2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs.
Use Cases
This model is particularly suitable for applications where efficient fine-tuning and a robust context window are beneficial. Its Qwen3 base and optimized training process make it a strong candidate for tasks requiring specialized language understanding and generation, especially within the constraints of its parameter size.