Yi-1.5-34B-Chat-16K
| Property | Value |
|---|---|
| Parameter Count | 34.4B |
| Context Length | 16K tokens |
| License | Apache 2.0 |
| Architecture | Transformer-based LLM |
| Paper | arxiv:2403.04652 |
What is Yi-1.5-34B-Chat-16K?
Yi-1.5-34B-Chat-16K is an advanced language model developed by 01-ai, representing a significant upgrade from the original Yi series. It's been pre-trained on a high-quality corpus of 500B tokens and fine-tuned with 3M diverse samples, achieving state-of-the-art performance in various language tasks.
Implementation Details
The model utilizes BF16 tensor type and incorporates advanced transformer architecture with a 16K token context window. It's been trained on 3.6T tokens in total, making it one of the most comprehensively trained models in its class.
- Extended context length of 16K tokens for handling longer conversations
- Optimized for chat interactions while maintaining base model capabilities
- Implements advanced instruction-following mechanisms
Core Capabilities
- Enhanced coding and mathematical reasoning abilities
- Strong performance in language understanding and comprehension
- Advanced instruction-following capabilities
- Robust commonsense reasoning
- Improved performance in complex problem-solving scenarios
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its optimal balance of size and performance, matching or exceeding larger models in many benchmarks while maintaining a manageable 34.4B parameter count and extended 16K context window.
Q: What are the recommended use cases?
The model excels in coding tasks, mathematical computations, complex reasoning scenarios, and general chat applications. It's particularly suitable for applications requiring extended context understanding and detailed technical discussions.
