IndicTrans2-Indic-En-1B
| Property | Value |
|---|---|
| Model Size | 1.1B parameters |
| Author | AI4Bharat |
| Paper | Research Paper |
| Maximum Context Length | 2048 tokens (RoPE variant) |
What is indictrans2-indic-en-1B?
IndicTrans2-Indic-En-1B is a state-of-the-art machine translation model specifically designed for translating from Indian languages to English. It represents a significant advancement in making high-quality translation accessible for all 22 scheduled Indian languages, utilizing a 1.1 billion parameter architecture with modern features like flash attention for improved performance.
Implementation Details
The model implements a sequence-to-sequence architecture optimized for translation tasks, featuring flash attention 2 support for efficient processing and the ability to handle extended context lengths up to 2048 tokens in its RoPE variant. It supports float16 and bfloat16 precision options for optimal performance across different hardware configurations.
- Implements flash_attention_2 for improved computational efficiency
- Supports batch processing with automatic preprocessing and postprocessing
- Includes robust tokenization and entity handling capabilities
- Offers beam search generation with configurable parameters
Core Capabilities
- High-quality translation from Indian languages to English
- Support for all 22 scheduled Indian languages
- Extended context handling up to 2048 tokens
- Efficient batch processing and preprocessing pipeline
- Entity preservation during translation
Frequently Asked Questions
Q: What makes this model unique?
The model combines large-scale parameters (1.1B) with modern attention mechanisms and support for all scheduled Indian languages, making it one of the most comprehensive Indian language translation models available.
Q: What are the recommended use cases?
The model is ideal for production-grade translation systems requiring high-quality Indian language to English translation, particularly in scenarios where accuracy and preservation of cultural context are crucial.
