sonktx/gpt-oss-20b-vi-qa-mxfp4
TEXT GENERATIONConcurrency Cost:1Model Size:20BQuant:FP8Ctx Length:32kPublished:May 21, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The sonktx/gpt-oss-20b-vi-qa-mxfp4 is a 20 billion parameter GPT-OSS model developed by sonktx, fine-tuned for Vietnamese Question Answering tasks. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is optimized for efficient performance in question answering within the Vietnamese language domain.
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Model Overview
The sonktx/gpt-oss-20b-vi-qa-mxfp4 is a 20 billion parameter language model developed by sonktx. It is a fine-tuned variant of the unsloth/gpt-oss-20b-unsloth-bnb-4bit base model, specifically optimized for Vietnamese Question Answering (QA) tasks.
Key Capabilities
- Vietnamese Question Answering: Specialized in understanding and generating responses to questions posed in Vietnamese.
- Efficient Fine-tuning: Leverages Unsloth and Huggingface's TRL library for accelerated training, achieving approximately 2x faster fine-tuning compared to standard methods.
- GPT-OSS Architecture: Built upon the GPT-OSS model family, providing a robust foundation for language understanding and generation.
Good For
- Vietnamese QA Systems: Ideal for applications requiring accurate and contextually relevant answers to questions in Vietnamese.
- Research and Development: Suitable for researchers and developers exploring efficient fine-tuning techniques for large language models, particularly in low-resource or specialized language domains.
- Resource-Efficient Deployment: The use of Unsloth suggests potential for more efficient inference and deployment, making it a candidate for applications where computational resources are a consideration.