Overview
Overview
koutch/short_paper_qwen_qwen3-instruct-4b_train_sft_train_para is a 4 billion parameter instruction-tuned model developed by koutch. It is finetuned from the unsloth/Qwen3-4B-Instruct-2507 base model, utilizing the Unsloth library and Huggingface's TRL library for training.
Key Capabilities
- Efficient Training: Achieved 2x faster training speed compared to standard methods, thanks to the integration of Unsloth.
- Instruction Following: Designed to accurately follow instructions for a variety of natural language processing tasks.
- Qwen3 Architecture: Benefits from the underlying Qwen3 architecture, providing a robust foundation for language understanding and generation.
Good For
- Applications requiring a compact yet capable instruction-tuned model.
- Scenarios where rapid model iteration and efficient training are crucial.
- Developers looking for a Qwen3-based model with optimized training characteristics.