EuroBERT-2.1B
| Property | Value |
|---|---|
| Parameter Count | 2.1 Billion |
| Model Type | Multilingual Encoder |
| License | Apache 2.0 |
| Maximum Sequence Length | 8,192 tokens |
| Supported Languages | 15 languages |
| Model Hub | HuggingFace |
What is EuroBERT-2.1B?
EuroBERT-2.1B is the largest variant in the EuroBERT family of multilingual encoder models, specifically designed to handle complex language processing tasks across European languages. As a state-of-the-art language model, it offers superior performance in various applications including retrieval, classification, and regression tasks, while also supporting mathematics and code-related operations.
Implementation Details
The model is built on the transformers architecture and can be easily implemented using the HuggingFace transformers library (version 4.48.0 or later). It supports Flash Attention 2 for enhanced efficiency on compatible GPUs and can process sequences of up to 8,192 tokens, making it suitable for longer text processing tasks.
- Integrates seamlessly with HuggingFace's transformers library
- Supports Flash Attention 2 optimization
- Extensive hyperparameter customization options for fine-tuning
- Flexible architecture supporting multiple downstream tasks
Core Capabilities
- Multilingual text processing across 15 languages
- Superior performance in retrieval tasks
- Advanced classification and regression capabilities
- Mathematical and code-related task processing
- Quality estimation and summary evaluation
- Outperforms XLM-RoBERTa-XL on various benchmarks
Frequently Asked Questions
Q: What makes this model unique?
EuroBERT-2.1B stands out for its exceptional multilingual capabilities and superior performance across various tasks. It's particularly notable for outperforming larger models like XLM-RoBERTa-XL while maintaining efficient processing capabilities through Flash Attention 2 support.
Q: What are the recommended use cases?
The model excels in multilingual applications including text classification, retrieval tasks, quality estimation, and code analysis. It's particularly well-suited for organizations requiring robust multilingual processing capabilities, especially in European languages, mathematics, and code-related tasks.
