OpenCodeInterpreter-DS-33B
Property | Value |
---|---|
Base Model | DeepSeek-Coder-33B |
License | Apache 2.0 |
Paper | arXiv:2402.14658 |
Primary Task | Code Generation & Interpretation |
What is OpenCodeInterpreter-DS-33B?
OpenCodeInterpreter-DS-33B is a sophisticated code generation system built on the DeepSeek-Coder-33B base model. It represents a significant advancement in code interpretation capabilities, integrating execution feedback and iterative refinement to bridge the gap between open-source models and proprietary systems like GPT-4 Code Interpreter.
Implementation Details
The model leverages a transformer-based architecture with 33B parameters, implementing an innovative approach that combines code generation with execution feedback. It demonstrates exceptional performance across standard benchmarks, particularly when enhanced with synthetic human feedback.
- Advanced execution feedback integration system
- Iterative refinement capabilities
- Built on DeepSeek-Coder architecture
- Supports bfloat16 precision for efficient inference
Core Capabilities
- 92.7% accuracy on HumanEval with oracle feedback
- 90.5% accuracy on MBPP benchmark
- Code generation with execution validation
- Interactive refinement based on feedback
- Support for multiple programming tasks
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its integration of execution feedback and synthetic human feedback mechanisms, allowing it to achieve state-of-the-art performance on coding benchmarks. The combination of its large parameter count (33B) and sophisticated feedback system sets it apart from traditional code generation models.
Q: What are the recommended use cases?
The model excels in code generation tasks, debugging, and code optimization scenarios. It's particularly effective for situations requiring iterative improvement of code solutions and can be used for both educational purposes and professional development tasks.