Yi-1.5-34B-Chat
| Property | Value |
|---|---|
| Parameter Count | 34.4B |
| Training Tokens | 3.6T |
| Context Length | 4K (base), 16K/32K variants available |
| License | Apache 2.0 |
| Paper | Available |
| Tensor Type | BF16 |
What is Yi-1.5-34B-Chat?
Yi-1.5-34B-Chat is an advanced language model that represents a significant upgrade to the original Yi series. It has been pre-trained on a high-quality corpus of 500B tokens and further refined through fine-tuning on 3M diverse samples. The model incorporates state-of-the-art architecture innovations while maintaining efficient resource utilization through its BF16 format.
Implementation Details
Built on the transformer architecture, this model leverages advanced training techniques and architectural optimizations to deliver superior performance. The model's implementation includes support for varying context lengths, making it versatile for different applications.
- Extensive pre-training on 3.6T tokens
- Multiple context length variants (4K, 16K, 32K)
- Optimized for both performance and efficiency
- Built with transformers architecture
Core Capabilities
- Enhanced coding and programming abilities
- Advanced mathematical reasoning
- Improved instruction-following capabilities
- Strong language understanding and comprehension
- Robust commonsense reasoning
Frequently Asked Questions
Q: What makes this model unique?
Yi-1.5-34B-Chat stands out for its balanced performance across various tasks, particularly excelling in coding, math, and reasoning while maintaining strong capabilities in language understanding and commonsense reasoning. Its performance is comparable to or exceeds that of larger models in most benchmarks.
Q: What are the recommended use cases?
The model is well-suited for a wide range of applications including software development, mathematical problem-solving, general conversation, and complex reasoning tasks. Its varying context length options make it adaptable to both short interactions and longer, more complex discussions.
