Qwen2.5 7B VNTL JP EN GGUF
GGUF quantized version of the Qwen2.5-7B-based Japanese-English translation model, supporting translation tasks between Japanese and English.
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Release Time : 3/7/2025
Model Overview
This is a 7B-parameter large language model optimized for Japanese-English translation tasks, based on the Qwen2.5 architecture, trained on the VNTL dataset, and converted to GGUF format for easy local deployment.
Model Features
Bilingual translation capability
Specifically optimized for translation tasks between Japanese and English.
GGUF quantized format
Provides a quantized version for easy deployment and operation on resource-limited devices.
Based on Qwen2.5 architecture
Utilizes the advanced Qwen2.5 large language model architecture with powerful language understanding capabilities.
Model Capabilities
Japanese-English bidirectional translation
Text generation
Language understanding
Use Cases
Language translation
Japanese-English document translation
Translate Japanese documents into English or vice versa
Real-time conversation translation
Provide real-time translation support in Japanese-English bilingual conversation scenarios
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