Llama-3.1-70B-Japanese-Instruct-2407
| Property | Value |
|---|---|
| Parameter Count | 70.6B |
| Model Type | Language Model (LLaMA 3.1) |
| Languages | Japanese, English |
| License | Meta Llama 3.1 Community License |
| Author | Ryosuke Ishigami (CyberAgent) |
| Precision | BF16 |
What is Llama-3.1-70B-Japanese-Instruct-2407?
This model represents a significant advancement in Japanese language AI, built upon Meta's LLaMA 3.1 70B Instruct architecture. It's specifically designed to handle both Japanese and English language tasks, with a focus on instruction-following capabilities. The model maintains the powerful base architecture while being optimized for Japanese language understanding and generation.
Implementation Details
The model implements the LLaMA 3.1 format for prompting, utilizing a sophisticated system of header IDs and message formatting. It's implemented using the Transformers library and supports streaming text generation with automated device mapping and dtype handling.
- Supports chat-template formatting for conversation-style interactions
- Implements efficient BF16 precision for optimal performance
- Features automated device mapping for hardware optimization
- Includes streaming capabilities for real-time text generation
Core Capabilities
- Bilingual processing in Japanese and English
- Instruction-following optimization
- Real-time text generation with streaming support
- Structured conversation handling using the LLaMA 3.1 format
- Efficient resource utilization through BF16 precision
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized Japanese language capabilities while maintaining English language proficiency, built on the powerful LLaMA 3.1 70B architecture. It's one of the few models specifically optimized for Japanese instruction-following tasks at this scale.
Q: What are the recommended use cases?
The model is particularly well-suited for Japanese-English bilingual applications, including conversational AI, text generation, and instruction-following tasks. It's ideal for applications requiring sophisticated language understanding in both Japanese and English contexts.
