该数据集是在模型Qwen/Qwen2.5-Coder-14B-Instruct的评估运行期间自动创建的。数据集由136个配置组成,每个配置对应一个评估任务。数据集是从1次运行中生成的,每次运行都作为每个配置中的一个特定分割存储,分割名称使用运行的时间戳。train分割始终指向最新的结果。此外,还有一个名为results的配置,存储了所有运行的聚合结果。README还提供了如何使用Hugging F
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 bil
--- pretty_name: Evaluation run of Qwen/Qwen2.5-Coder-7B-Instruct dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggi