Yi-1.5-9B-Chat
| Property | Value |
|---|---|
| Parameter Count | 8.83B |
| Context Length | 4K |
| Training Tokens | 3.6T |
| License | Apache 2.0 |
| Paper | Available Here |
What is Yi-1.5-9B-Chat?
Yi-1.5-9B-Chat is part of the Yi-1.5 series, representing a significant advancement in open-source language models. This chat-optimized version has been pre-trained on a high-quality corpus of 500B tokens and further refined through fine-tuning on 3M diverse samples. The model maintains an optimal balance between size and performance, making it particularly suitable for production deployments.
Implementation Details
The model utilizes the BF16 tensor type and is built on the Llama architecture. It has been specifically designed to handle a 4K context window, with variants available for extended context lengths. The implementation focuses on efficient processing while maintaining high-quality output across various tasks.
- Optimized for chat and instruction-following scenarios
- Built with Transformers architecture
- Supports text-generation-inference
- Available in Safetensors format
Core Capabilities
- Strong coding and mathematical reasoning
- Enhanced instruction-following capability
- Excellent language understanding and comprehension
- Robust commonsense reasoning
- Competitive performance against larger models in its class
Frequently Asked Questions
Q: What makes this model unique?
Yi-1.5-9B-Chat stands out for its exceptional performance-to-size ratio, being the top performer among similarly sized open-source models. It offers a perfect balance between computational efficiency and capability, making it ideal for both research and production environments.
Q: What are the recommended use cases?
The model excels in various applications including coding assistance, mathematical problem-solving, general chat interactions, and tasks requiring strong reasoning capabilities. It's particularly well-suited for deployments where balance between model size and performance is crucial.
