ELYZA-japanese-Llama-2-7b-instruct
| Property | Value |
|---|---|
| Parameter Count | 6.27B |
| Vocabulary Size | 32,000 tokens |
| License | Llama 2 Community License |
| Languages | Japanese, English |
| Paper | arXiv:2307.09288 |
What is ELYZA-japanese-Llama-2-7b-instruct?
ELYZA-japanese-Llama-2-7b-instruct is a specialized language model that extends the capabilities of Meta's Llama 2 architecture for enhanced Japanese language processing. Developed by the ELYZA team, this model underwent additional pre-training specifically designed to improve its Japanese language capabilities while maintaining its English language performance.
Implementation Details
The model is built on the Llama 2 architecture and features a vocabulary size of 32,000 tokens. It implements a transformer-based architecture optimized for both inference and instruction-following tasks. The model can be deployed using PyTorch and the Transformers library, with support for both CPU and CUDA acceleration.
- Built on Llama 2's 7B parameter architecture
- Specialized Japanese vocabulary integration
- Instruction-tuned for better task completion
- Supports text-generation-inference endpoints
Core Capabilities
- Bilingual processing in Japanese and English
- Natural language understanding and generation
- Instruction-following with system prompts
- Context-aware text generation
- Efficient processing with customizable generation parameters
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. It's specifically designed for Japanese users and applications, with additional pre-training that enhances its understanding and generation of Japanese text.
Q: What are the recommended use cases?
The model is ideal for Japanese language processing tasks, including text generation, conversation, and instruction-following scenarios. It's particularly well-suited for applications requiring bilingual capabilities in Japanese and English, such as content creation, translation assistance, and interactive AI systems.
