Yi-Coder-9B-Chat
| Property | Value |
|---|---|
| Parameter Count | 8.83B |
| Context Length | 128K tokens |
| License | Apache 2.0 |
| Paper | View Paper |
| Model Type | Code Generation / Chat |
What is Yi-Coder-9B-Chat?
Yi-Coder-9B-Chat is a state-of-the-art code language model designed for advanced programming assistance and code generation. As part of the Yi-Coder series, it achieves remarkable performance with fewer than 10 billion parameters, making it both efficient and powerful. The model has demonstrated exceptional capabilities, achieving a 23% pass rate in LiveCodeBench, outperforming many larger models including DeepSeekCoder-33B-Ins.
Implementation Details
The model is implemented using the transformers library and operates with BF16 precision. It features a sophisticated architecture optimized for code understanding and generation, with support for extensive context windows up to 128K tokens. The model can be easily deployed using Hugging Face's transformers library and supports both chat and base versions for different use cases.
- Built on the Yi-Coder-9B base model with chat optimization
- Supports 52 major programming languages including Python, Java, JavaScript, C++, and more
- Implements efficient token processing with BF16 precision
- Features extensive context window of 128K tokens
Core Capabilities
- Advanced code generation across 52 programming languages
- Long-context understanding up to 128K tokens
- Superior performance in code completion and generation tasks
- State-of-the-art benchmark performance, especially in LiveCodeBench
- Efficient deployment options with popular ML frameworks
Frequently Asked Questions
Q: What makes this model unique?
Yi-Coder-9B-Chat stands out for achieving superior performance with relatively modest parameter count, surpassing larger models in benchmarks while maintaining efficiency. Its 23% pass rate in LiveCodeBench as a sub-10B parameter model is particularly noteworthy.
Q: What are the recommended use cases?
The model excels in code generation, software development assistance, code completion, and programming education. It's particularly suitable for projects requiring multi-language support and handling of complex coding tasks with extended context requirements.
