Code Generation On Turbulence
Metrics
CorrSc
Results
Performance results of various models on this benchmark
Model Name | CorrSc | Paper Title | Repository |
|---|---|---|---|
| GPT-3.5-Turbo | 0.617 | Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code | - |
| CodeLlama:13B-4bit-quantised | 0.327 | Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code | - |
| GPT-4 | 0.848 | Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code | - |
| Command | 0.063 | Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code | - |
| CodeLlama:7B-4bit-quantised | 0.289 | Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code | - |
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