Linkbricks-Horizon-AI-Japanese-Pro-V8-70B
| Property | Value |
|---|---|
| Model Size | 70B parameters |
| Context Window | 128k tokens |
| Training Infrastructure | 8x H100-80G GPUs |
| Base Model | Linkbricks-Horizon-AI-Japanese-Pro-V7-70B |
| Transformers Version | 4.46.3 |
| Model URL | Hugging Face |
What is Linkbricks-Horizon-AI-Japanese-Pro-V8-70B?
This is an advanced multilingual language model developed by Linkbricks, specifically enhanced for Japanese language processing while maintaining strong capabilities in Korean, Chinese, and English. The model was trained on a massive dataset of 40 million Japanese news articles and wiki corpus, using a sophisticated SFT->DPO->MERGE training pipeline.
Implementation Details
The model leverages advanced training techniques including Deepspeed Stage 3, rslora, and BAdam Layer Mode. It maintains the base tokenizer without word expansion, focusing on improving performance through architectural and training innovations rather than vocabulary modifications.
- 128k context window for handling long-form content
- Function Call and Tool Calling support
- Cross-lingual enhancement across Japanese, Korean, Chinese, and English
- Optimized for high-dimensional analysis of customer reviews and social media content
Core Capabilities
- Advanced logical reasoning and mathematical problem-solving
- Cross-lingual processing and understanding
- High-quality content generation and analysis
- Enhanced performance in coding tasks
- Sophisticated customer review and social media analysis
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized Japanese language capabilities while maintaining strong performance across multiple East Asian languages. The extensive training on 40M Japanese news articles combined with cross-lingual data makes it particularly effective for Asian language processing tasks.
Q: What are the recommended use cases?
The model is particularly well-suited for: multilingual content analysis and generation, customer review processing, social media analysis, coding tasks, mathematical problem-solving, and complex logical reasoning applications. Its 128k context window makes it excellent for processing long documents and conversations.
