sonktx/qwen3-8b-vi-qa-v2-16bit
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:May 23, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The sonktx/qwen3-8b-vi-qa-v2-16bit is an 8 billion parameter Qwen3-based causal language model developed by sonktx. This model is specifically fine-tuned for Vietnamese Question Answering (QA) tasks, leveraging Unsloth for accelerated training. It offers a 32768 token context length, making it suitable for processing extensive Vietnamese text for question-answering applications.
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sonktx/qwen3-8b-vi-qa-v2-16bit: Accelerated Vietnamese QA Model
This model, developed by sonktx, is an 8 billion parameter Qwen3-based language model specifically fine-tuned for Vietnamese Question Answering (QA). It was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Key Capabilities
- Vietnamese Question Answering: Optimized for understanding and generating answers to questions in Vietnamese.
- Qwen3 Architecture: Built upon the robust Qwen3 foundation, providing strong language understanding capabilities.
- Accelerated Training: Benefits from Unsloth's optimizations for faster fine-tuning.
- Extended Context Length: Supports a 32768 token context window, allowing for comprehensive analysis of longer documents or conversations for QA tasks.
Good For
- Developing chatbots or virtual assistants that require accurate Vietnamese question answering.
- Building information retrieval systems for Vietnamese content.
- Applications needing efficient processing of long Vietnamese texts for extracting specific answers.