Japanese-StableLM-Base-Alpha-7B
| Property | Value |
|---|---|
| Parameter Count | 7 Billion |
| Model Type | Decoder-only Language Model |
| Architecture | NeoX Transformer |
| License | Apache 2.0 |
| Context Length | 2048 tokens |
| Hidden Size | 4096 |
What is japanese-stablelm-base-alpha-7b?
Japanese-StableLM-Base-Alpha-7B is a state-of-the-art language model specifically designed for Japanese language processing. Built on the NeoX transformer architecture, this model has been trained on approximately 750B tokens from diverse Japanese and English datasets, making it particularly effective for Japanese language modeling and downstream tasks.
Implementation Details
The model features a sophisticated architecture with 32 layers and 32 attention heads, utilizing a hidden size of 4096 and a sequence length of 2048 tokens. It leverages the NovelAI tokenizer for efficient processing of both Japanese and English text.
- Trained on multiple high-quality datasets including Japanese Wikipedia, MC4, CC-100, OSCAR, and RedPajama
- Implements advanced text generation capabilities with configurable parameters
- Supports both Japanese and English text processing
Core Capabilities
- High-quality Japanese text generation
- Bilingual processing capabilities
- Flexible generation parameters (temperature, top_p, etc.)
- Efficient tokenization for Japanese and English text
- Support for various downstream NLP tasks
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its specialized focus on Japanese language processing while maintaining English capabilities, extensive training on diverse datasets (750B tokens), and its efficient implementation using the NeoX architecture.
Q: What are the recommended use cases?
The model is ideal for Japanese text generation tasks, research applications, and as a foundation for fine-tuning on specific downstream tasks. It's particularly suitable for applications requiring high-quality Japanese language understanding and generation.
