ELYZA-japanese-Llama-2-7b-fast-instruct
| Property | Value |
|---|---|
| Parameter Count | 6.37B |
| Vocabulary Size | 45,043 tokens |
| License | Llama 2 Community License |
| Languages | Japanese, English |
| Paper | Llama 2 Paper |
What is ELYZA-japanese-Llama-2-7b-fast-instruct?
ELYZA-japanese-Llama-2-7b-fast-instruct is an advanced language model based on Llama 2 architecture, specifically optimized for Japanese language processing while maintaining English capabilities. It features an expanded vocabulary of 45,043 tokens and has undergone additional pre-training to enhance its Japanese language understanding and generation abilities.
Implementation Details
The model builds upon the Llama 2 architecture with significant modifications for Japanese language support. It utilizes PyTorch framework and includes specialized text generation inference capabilities.
- Enhanced tokenizer with 45,043 vocabulary tokens
- Optimized for instruction-following tasks
- 6.37B parameters for comprehensive language understanding
- Supports both Japanese and English inputs
Core Capabilities
- Bilingual text generation in Japanese and English
- Instruction-following dialogue generation
- Context-aware responses with system prompting
- Efficient processing with optimized architecture
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized Japanese language capabilities while maintaining the robust performance of Llama 2. The "fast" variant features an expanded vocabulary and optimized architecture for improved processing efficiency.
Q: What are the recommended use cases?
The model is particularly well-suited for Japanese-English bilingual applications, including chatbots, content generation, and instruction-following tasks. It's designed for production environments requiring efficient processing of Japanese text.
