Request official evaluation scripts/configs for reproducing MiniCPM5-2B benchmark results

Hello MiniCPM Team,

I am trying to reproduce the benchmark results of MiniCPM5-2B for academic research.

I have successfully deployed the released MiniCPM5-2B model following the official instructions. However, I could not find the complete evaluation pipeline used to obtain the benchmark results reported in the model card.

Could you please share the official evaluation scripts and configurations, including:

1. Benchmark evaluation scripts (MATH-500, MMLU/MMLU-Pro, AIME, HMMT, etc.);
2. Inference settings:
   • prompt/chat template;
   • whether enable_thinking=True is used;
   • generation parameters (max_new_tokens, temperature, top_p, do_sample, stop criteria, etc.);
3. Answer extraction and grading scripts;
4. Dataset preprocessing and evaluation commands.

I especially want to reproduce the reported MATH-500 score (94.6), and I would like to confirm whether the official evaluation uses any reasoning budget, length control, or special stopping strategy for the thinking mode.

Any scripts or configuration files would be greatly appreciated.

Thank you very much.

No files, tests, or entry points are named in the issue. Start by locating any existing evaluation or benchmark-related material in the repository, then determine whether the requested MATH-500, MMLU/MMLU-Pro, AIME, and HMMT scripts, configurations, preprocessing, and grading commands can be added; done means the official reproduction workflow is available and documented.