Yi-1.5-9B
| Property | Value |
|---|---|
| Parameter Count | 8.83B |
| Model Type | Text Generation, Transformers |
| Context Length | 4K, 16K, 32K variants |
| License | Apache-2.0 |
| Paper | View Paper |
| Tensor Type | BF16 |
What is Yi-1.5-9B?
Yi-1.5-9B is an advanced language model that represents a significant upgrade over its predecessor. It has been pre-trained on a high-quality corpus of 500B tokens and further refined with 3M diverse fine-tuning samples. The model stands out for its comprehensive capabilities across multiple domains while maintaining a relatively efficient parameter count of 8.83B.
Implementation Details
The model implements advanced transformer architecture and is available in multiple variants optimized for different context lengths (4K, 16K, 32K). It leverages BF16 tensor types for efficient computation and memory usage.
- Continuous pre-training on extensive high-quality corpus
- Fine-tuned on 3M diverse samples
- Available in both base and chat-optimized versions
- Supports multiple context length configurations
Core Capabilities
- Strong performance in coding tasks and mathematical reasoning
- Enhanced instruction-following capabilities
- Excellent language understanding and comprehension
- Robust commonsense reasoning abilities
- Competitive performance against larger models in benchmark tests
Frequently Asked Questions
Q: What makes this model unique?
Yi-1.5-9B stands out for achieving top performance among similarly sized open-source models, particularly in coding, math, and reasoning tasks, while maintaining a relatively compact parameter count of 8.83B.
Q: What are the recommended use cases?
The model is well-suited for a wide range of applications including code generation, mathematical problem-solving, general text generation, and complex reasoning tasks. It's particularly effective for applications requiring strong instruction-following capabilities.
