OpenCALM-7B
| Property | Value |
|---|---|
| Parameter Count | 6.8B |
| Model Type | Transformer-based Language Model |
| Architecture | GPT-NeoX |
| License | CC BY-SA 4.0 |
| Developer | CyberAgent, Inc. |
What is open-calm-7b?
OpenCALM-7B is a sophisticated Japanese language model that represents the largest variant in the OpenCALM suite of decoder-only language models. Developed by CyberAgent, Inc., this model features 6.8B parameters and achieves an impressive development perplexity score of 8.2, making it particularly effective for Japanese text generation tasks.
Implementation Details
The model is built on the GPT-NeoX architecture and consists of 32 layers with 4096 dimensions and 32 attention heads. It's trained on a comprehensive dataset including Japanese Wikipedia and Common Crawl, ensuring broad coverage of Japanese language patterns and knowledge.
- 32-layer architecture with 4096 dimensional representations
- 32 attention heads for complex pattern recognition
- Trained on diverse Japanese text corpora
- Implements efficient float16 precision support
Core Capabilities
- Advanced Japanese text generation
- Context-aware language understanding
- Efficient processing with device mapping support
- Customizable generation parameters for temperature and top-p sampling
Frequently Asked Questions
Q: What makes this model unique?
OpenCALM-7B stands out for its specialized focus on Japanese language processing, offering state-of-the-art performance with its 6.8B parameters and achieving the lowest perplexity (8.2) in the OpenCALM model series.
Q: What are the recommended use cases?
The model is particularly well-suited for Japanese text generation tasks, including content creation, text completion, and general language modeling applications. Its implementation allows for flexible deployment with customizable generation parameters.
