ChatGLM3-6B-128K
| Property | Value |
|---|---|
| Author | THUDM |
| License | Apache-2.0 (code), Custom (model weights) |
| Paper | ChatGLM Research Paper |
| Languages | Chinese, English |
What is chatglm3-6b-128k?
ChatGLM3-6B-128K is an advanced version of the ChatGLM3-6B model, specifically optimized to handle extremely long context windows up to 128,000 tokens. This model represents a significant advancement in processing lengthy documents and conversations, featuring enhanced position encoding and specialized training methods for long-text comprehension.
Implementation Details
The model builds upon the ChatGLM3-6B architecture with significant modifications to support extended context processing. It uses advanced position encoding techniques and implements targeted long-text training methodologies during the conversation phase.
- Modified position encoding system for handling 128K context windows
- Specialized training approach for long-text understanding
- Compatible with existing ChatGLM3 infrastructure
- Supports both Python API and command-line interfaces
Core Capabilities
- Extended context processing up to 128K tokens
- Multi-turn dialogue management
- Native support for function calling and code interpretation
- Bilingual capabilities in Chinese and English
- Tool integration and agent task handling
Frequently Asked Questions
Q: What makes this model unique?
The model's ability to process 128K tokens sets it apart from standard language models. This extended context window makes it particularly suitable for tasks involving long documents, complex conversations, or extensive context requirements.
Q: What are the recommended use cases?
The model is specifically recommended for scenarios where context length exceeds 8K tokens. For standard applications with shorter context requirements (under 8K tokens), the regular ChatGLM3-6B model is recommended for better efficiency.
