Ling-plus
| Property | Value |
|---|---|
| Total Parameters | 290B |
| Activated Parameters | 28.8B |
| Context Length | 64K tokens |
| License | MIT |
| Author | inclusionAI |
What is Ling-plus?
Ling-plus is an advanced Mixture of Experts (MoE) Large Language Model developed by inclusionAI. As the larger variant in the Ling family, it features an impressive 290 billion parameters with 28.8 billion activated parameters, making it one of the most sophisticated open-source language models available. The model's architecture is specifically designed for scalability and adaptability across various natural language processing tasks.
Implementation Details
The model leverages a state-of-the-art MoE architecture that efficiently manages its massive parameter count by activating only a subset of parameters (28.8B) during operation. This approach allows for both computational efficiency and powerful performance. The model supports a substantial 64K token context window, enabling it to process and understand lengthy inputs.
- Efficient parameter activation system
- Hugging Face integration for easy deployment
- Comprehensive chat template support
- Flexible scaling capabilities
Core Capabilities
- Natural language processing and generation
- Complex problem-solving tasks
- Extended context understanding (64K tokens)
- Adaptable to various use cases
- Collaborative learning potential
Frequently Asked Questions
Q: What makes this model unique?
Ling-plus stands out due to its efficient MoE architecture that manages 290B parameters while only activating 28.8B during operation, making it both powerful and computationally efficient. Its open-source nature and extensive context window make it particularly valuable for research and development.
Q: What are the recommended use cases?
The model is designed for a wide range of applications, from processing natural language to solving complex problems. Its adaptable architecture makes it suitable for tasks requiring deep language understanding, content generation, and problem-solving capabilities.
