DataOpsFusion/Qwen2.5-7B-Instruct-vietnamese-r32
DataOpsFusion/Qwen2.5-7B-Instruct-vietnamese-r32 is a 7.6 billion parameter instruction-tuned causal language model developed by DataOpsFusion. Built upon the Qwen2.5-7B-Instruct base model, it is specifically fine-tuned for the Vietnamese language using an adapter rank of r32. This model excels in generating and understanding Vietnamese text, making it suitable for applications requiring high-quality Vietnamese language processing.
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Overview
DataOpsFusion/Qwen2.5-7B-Instruct-vietnamese-r32 is an instruction-tuned language model developed by DataOpsFusion. It is based on the robust Qwen/Qwen2.5-7B-Instruct architecture, featuring 7.6 billion parameters and a context length of 32768 tokens. This model has been specifically adapted for the Vietnamese language, utilizing an adapter rank of r32.
Key Capabilities
- Vietnamese Language Proficiency: Instruction-tuned exclusively on the
hoanghai2110/vietnamese-datasetto enhance performance in Vietnamese. - Efficient Fine-tuning: Developed using Unsloth and Hugging Face TRL, indicating an optimized fine-tuning process.
- Apache-2.0 License: Offers flexible usage for both commercial and research applications.
Good For
- Applications requiring high-quality text generation and understanding in Vietnamese.
- Developers looking for a specialized model for Vietnamese-centric NLP tasks.
- Research and development in Vietnamese large language models.