ChatGLM2-6B-32K
| Property | Value |
|---|---|
| Developer | THUDM |
| Languages | Chinese, English |
| Context Length | 32K tokens |
| License | Apache-2.0 (code), Custom (weights) |
| Memory Required | ~20GB (FP16/BF16) |
What is ChatGLM2-6B-32K?
ChatGLM2-6B-32K is an advanced bilingual large language model that extends the capabilities of ChatGLM2-6B with significantly improved context handling capabilities. It's specifically designed to process and understand longer text sequences up to 32K tokens, making it ideal for applications requiring extended context comprehension.
Implementation Details
The model implements several cutting-edge technologies including FlashAttention and Multi-Query Attention, resulting in 42% faster inference compared to its predecessor. It utilizes position interpolation techniques for enhanced context understanding and optimized KV cache storage to reduce memory fragmentation.
- Trained on 1.4T bilingual tokens
- Implements GLM's hybrid objective function
- Supports both FP16/BF16 formats
- Requires approximately 20GB GPU memory for full context
Core Capabilities
- Extended context processing up to 32K tokens
- Efficient memory utilization with optimized KV cache
- Bilingual support (Chinese and English)
- Enhanced inference speed with Multi-Query Attention
- Supports INT4 quantization for reduced memory usage
Frequently Asked Questions
Q: What makes this model unique?
The model's standout feature is its ability to handle 32K token contexts while maintaining efficient memory usage through optimized architecture and storage methods. This makes it particularly suitable for long-form content processing and extended conversations.
Q: What are the recommended use cases?
The model is recommended for applications requiring processing of long documents or extended conversations exceeding 8K tokens. For contexts under 8K tokens, the standard ChatGLM2-6B is recommended for better efficiency.
