sonktx/qwen3-8b-vi-qa-16bit
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The sonktx/qwen3-8b-vi-qa-16bit is an 8 billion parameter Qwen3 model developed by sonktx, fine-tuned for Vietnamese Question Answering. It was trained 2x faster using Unsloth and Huggingface's TRL library, making it an efficient choice for QA tasks in Vietnamese. This model leverages a 32768 token context length, providing robust performance for complex queries.
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Model Overview
The sonktx/qwen3-8b-vi-qa-16bit is an 8 billion parameter Qwen3 model, developed by sonktx, specifically fine-tuned for Vietnamese Question Answering (QA). This model was efficiently trained using Unsloth and Huggingface's TRL library, achieving a 2x speedup during the training process compared to standard methods.
Key Capabilities
- Vietnamese Question Answering: Optimized for understanding and generating answers to questions in the Vietnamese language.
- Efficient Training: Benefits from Unsloth's optimizations, allowing for faster fine-tuning and deployment.
- Qwen3 Architecture: Built upon the robust Qwen3 base model, providing strong language understanding capabilities.
- 16-bit Precision: Utilizes 16-bit precision for a balance of performance and memory efficiency.
- Extended Context Length: Supports a substantial context window of 32768 tokens, enabling it to process and understand longer documents or conversations for QA tasks.
Good For
- Vietnamese QA Systems: Ideal for applications requiring accurate question answering in Vietnamese.
- Resource-Efficient Deployment: Suitable for scenarios where faster training and inference are critical, thanks to its Unsloth-optimized fine-tuning.
- Research and Development: Provides a strong foundation for further experimentation and fine-tuning on Vietnamese language tasks.