MaLA-500-10b-v1
| Property | Value |
|---|---|
| Base Model | Llama-2-7b |
| License | Llama2 |
| Vocabulary Size | 260,164 tokens |
| Paper | arXiv:2401.13303 |
What is mala-500-10b-v1?
MaLA-500 is an advanced multilingual language model that represents a significant evolution in natural language processing. Built upon the foundation of LLaMA 2 7B, this model has been specifically designed to handle an impressive range of 534 different languages, making it one of the most linguistically diverse models available.
Implementation Details
The model implements three key technical innovations: continued pretraining with vocabulary extension, expanding the token vocabulary to 260,164 tokens, and utilizing LoRA (Low-Rank Adaptation) for efficient model adaptation. The implementation requires transformers>=4.36.1 and peft>=0.6.2 for proper functionality.
- Extensive vocabulary expansion to accommodate multilingual capabilities
- LoRA-based adaptation for efficient fine-tuning
- Built on the robust Llama-2 architecture
- Trained on the comprehensive Glot500-c dataset
Core Capabilities
- Support for 534 different languages
- Enhanced multilingual text generation
- Efficient adaptation through LoRA technology
- Improved language understanding across diverse linguistic contexts
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its massive language coverage (534 languages) and innovative combination of continued pretraining with vocabulary extension and LoRA adaptation, making it particularly effective for multilingual applications.
Q: What are the recommended use cases?
The model is ideal for multilingual text generation tasks, cross-lingual applications, and scenarios requiring broad language coverage. It's particularly suitable for applications needing robust performance across multiple languages simultaneously.
