Llama2-13b-Language-translate
| Property | Value |
|---|---|
| Based On | Llama-2-13B |
| Research Paper | Multilingual Translation Paper |
| Downloads | 3,461 |
| Languages Supported | 53 |
| Framework | PyTorch, Transformers |
What is Llama2-13b-Language-translate?
Llama2-13b-Language-translate is a sophisticated multilingual machine translation model built on the Llama-2-13B architecture. It's specifically designed for one-to-many translation tasks, capable of translating English text into 49 other languages. The model implements the mBART-50 architecture and has been fine-tuned for optimal translation performance.
Implementation Details
The model utilizes the Transformers library and implements forced token generation for target language specification. It requires the source language to be English (en_XX) and can generate translations by specifying the target language token as the first generated token using the forced_bos_token_id parameter.
- Built on Llama-2-13B architecture
- Implements mBART-50 translation methodology
- Supports PyTorch backend
- Uses specialized tokenization for multilingual support
Core Capabilities
- One-to-many translation from English to 49 languages
- Support for diverse language families including Indo-European, Asian, and African languages
- Specialized handling of language-specific tokens
- Efficient batch processing of translation tasks
- Integration with popular deep learning frameworks
Frequently Asked Questions
Q: What makes this model unique?
This model uniquely combines Llama-2's powerful architecture with mBART-50's multilingual capabilities, offering high-quality translations across 53 languages while maintaining computational efficiency.
Q: What are the recommended use cases?
The model is ideal for applications requiring English-to-multiple-language translation, such as content localization, multilingual document processing, and international communication platforms. It's particularly useful for batch translation tasks and integration into larger language processing pipelines.
