Qwen1.5-1.8B
| Property | Value |
|---|---|
| Parameter Count | 1.84B |
| Model Type | Transformer-based decoder-only |
| License | tongyi-qianwen-research |
| Paper | Research Paper |
| Context Length | 32K tokens |
What is Qwen1.5-1.8B?
Qwen1.5-1.8B is part of the Qwen1.5 series, representing the beta version of Qwen2. This 1.84B parameter model is designed as a decoder-only language model with advanced capabilities in both multilingual processing and extended context understanding.
Implementation Details
The model is built on a sophisticated transformer architecture incorporating several key technical innovations:
- SwiGLU activation function for enhanced performance
- Attention QKV bias implementation
- Group query attention mechanisms
- Stable 32K context length support
- Improved tokenizer for multiple natural languages and code
Core Capabilities
- Extended context processing up to 32K tokens
- Multilingual support for both base and chat models
- Enhanced performance in chat-based applications
- Efficient text generation and processing
- Support for various post-training techniques (SFT, RLHF)
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its balanced combination of size and capability, offering 32K context length support while maintaining a relatively compact 1.8B parameter count. It's part of a comprehensive series ranging from 0.5B to 72B parameters, making it an excellent choice for medium-scale applications.
Q: What are the recommended use cases?
The model is primarily designed for post-training applications. It's recommended to use this as a foundation for specific tasks through fine-tuning, SFT, RLHF, or continued pretraining rather than direct text generation.
