inhyuk12/toolcalling-merged-demo
The inhyuk12/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, developed by inhyuk12, fine-tuned from unsloth/Qwen3-1.7B-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its efficient training methodology to provide a capable and accessible model.
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Overview
The inhyuk12/toolcalling-merged-demo is a 2 billion parameter Qwen3 model, developed by inhyuk12. It was fine-tuned from the unsloth/Qwen3-1.7B-unsloth-bnb-4bit base model, utilizing the Unsloth library and Huggingface's TRL library for training. A key characteristic of this model is its optimized training process, which enabled it to be trained 2x faster than conventional methods.
Key Capabilities
- Efficient Training: Leverages Unsloth for significantly faster fine-tuning.
- Qwen3 Architecture: Built upon the Qwen3 model family, providing a robust foundation.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
Good for
- Developers seeking a Qwen3-based model with a focus on efficient training.
- Experimentation with models fine-tuned using Unsloth and TRL.
- Applications requiring a 2 billion parameter model for general language understanding and generation.