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-dataset to 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.