| Property | Value |
|---|---|
| Base Model | StarCoderPlus |
| Context Length | 8192 tokens |
| Performance | 102.5% of ChatGPT score |
| Framework | PyTorch |
What is OpenCoderPlus?
OpenCoderPlus is a sophisticated code generation model developed by OpenChat, built on the StarCoderPlus architecture. It represents a significant advancement in code-focused language models, achieving impressive performance metrics including a 102.5% ChatGPT score on Vicuna GPT-4 evaluation and a 78.7% win rate on AlpacaEval.
Implementation Details
The model implements a specialized conversation template system that concatenates tokens in a specific format. It utilizes bfloat16 precision and includes custom end-of-turn tokens for structured dialogue handling.
- Native 8192 token context window
- Custom tokenization system with special tokens
- Optimized for code generation tasks
- Compatible with ChatCompletions API
Core Capabilities
- Advanced code generation and completion
- Long context understanding (8192 tokens)
- Multi-turn conversation support
- High-performance text generation
- Web UI integration capabilities
Frequently Asked Questions
Q: What makes this model unique?
OpenCoderPlus stands out for its exceptional performance metrics matching or exceeding ChatGPT in code-related tasks, while maintaining an extensive context window of 8192 tokens. It's built on the robust StarCoderPlus architecture and features a specialized conversation template system.
Q: What are the recommended use cases?
The model is particularly well-suited for code generation, software development assistance, technical documentation, and multi-turn coding conversations. Its extended context length makes it especially valuable for handling large code blocks and complex programming scenarios.