Fine-tuning DeepSeek-Coder on a new 122k synthetic HPC instruction dataset yields open-source models that reach 34.1 pass@1 on ParEval parallel code generation, besting other open baselines but trailing GPT-4.
Code llama: Open foundation models for code,
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HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages
Fine-tuning DeepSeek-Coder on a new 122k synthetic HPC instruction dataset yields open-source models that reach 34.1 pass@1 on ParEval parallel code generation, besting other open baselines but trailing GPT-4.