CALM2-7B-Chat
| Property | Value |
|---|---|
| Parameter Count | 7.01B |
| Context Length | 32,768 tokens |
| License | Apache 2.0 |
| Languages | Japanese, English |
| Developer | CyberAgent, Inc. |
| Research Paper | arXiv:2302.13971 |
What is calm2-7b-chat?
CALM2-7B-Chat is a specialized bilingual language model developed by CyberAgent, designed specifically for dialogue applications. It's a fine-tuned version of the base CyberAgentLM2 model, optimized to handle conversational interactions in both Japanese and English.
Implementation Details
Built on the transformer architecture and utilizing the LLaMA framework, this model implements BF16 tensor types for efficient computation. It requires transformers >= 4.34.1 and supports automatic device mapping for optimal performance.
- Extensive context window of 32,768 tokens
- Built-in chat template for structured conversations
- Supports text streaming for real-time response generation
- Implements temperature-controlled text generation
Core Capabilities
- Bilingual conversation handling in Japanese and English
- Structured dialogue management with USER/ASSISTANT format
- Real-time text generation with streaming support
- Configurable generation parameters for varying response styles
- Efficient memory handling with BF16 precision
Frequently Asked Questions
Q: What makes this model unique?
The model's standout feature is its specialized optimization for bilingual dialogue applications, combining a large context window with efficient implementation. Its chat-specific fine-tuning makes it particularly suitable for conversational AI applications.
Q: What are the recommended use cases?
The model is ideal for building chatbots, dialogue systems, and interactive applications requiring Japanese-English bilingual capabilities. Its streaming support makes it suitable for real-time conversation applications.
