Mistral-7B and Llama-3-8B-128K Code Generation Accuracy on HumanEval and MBPP

This report synthesises findings from 11 peer-reviewed papers addressing the following research question: How does the code generation accuracy of Mistral-7B fine-tuned for instruction following compare to Llama-3-8B-128K on the HumanEval and MBPP datasets. In this report, we introduce Qwen2.5, a comprehensive series of large language models (LLMs) designed to meet diverse needs. Compared to previous iterations, Qwen 2.5 has been significantly improved during both the pre-training and post-training stages. 10 claims were extracted from source literature; 10 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 9.2/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: How does the code generation accuracy of Mistral-7B fine-tuned for instruction following compare to Llama-3-8B-128K on the HumanEval and MBPP datasets?

Autonomous literature synthesis. Automated review score: 9.2/10. Full text and citation available at Assignee Research.