llama-3.1-Asian-Bllossom-8B-Translator
Property | Value |
---|---|
Parameter Count | 8.03B |
Model Type | Translation Model |
Base Architecture | LLaMA 3.1 8B Instruct |
License | llama3.1 |
Supported Languages | Korean, Vietnamese, Indonesian, Cambodian, Thai |
What is llama-3.1-Asian-Bllossom-8B-Translator?
This is a specialized multilingual translation model built on the LLaMA 3.1 architecture, specifically designed for Southeast Asian language translation. The model has been trained on 20M examples, with 1M examples per translation direction, enabling high-quality translations between five Asian languages.
Implementation Details
Based on meta-llama/Llama-3.1-8B-Instruct, this model utilizes BF16 tensor types and implements a transformer architecture optimized for translation tasks. The model demonstrates impressive performance metrics, with BLEU scores ranging from 45.59 to 78.84 and ROUGE-L scores between 69.46 and 91.16 across different language pairs.
- Trained on 20M carefully curated examples
- Supports 20 different translation directions
- Implements efficient BF16 precision
- Optimized for short-to-medium length translations
Core Capabilities
- Bidirectional translation between all supported languages
- High accuracy for common expressions and basic conversations
- Strong performance in Vietnamese↔Cambodian (BLEU: 78.26)
- Excellent ROUGE-L scores, particularly in Thai↔Cambodian (91.16)
Frequently Asked Questions
Q: What makes this model unique?
This model specifically focuses on Southeast Asian languages, offering comprehensive coverage of 20 translation directions with validated performance metrics. Its optimization for these specific language pairs makes it particularly effective for regional communication needs.
Q: What are the recommended use cases?
The model is best suited for translating short text segments, common expressions, and basic conversations between the supported languages. It's particularly effective for business communication, tourism, and cultural exchange within Southeast Asian contexts.