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import re

from datasets import load_dataset
import torch

import verifiers as vf

"""
# inference
CUDA_VISIBLE_DEVICES=0 vf-vllm --model 'google/gemma-3-4b-it' --dtype bfloat16 --max-model-len 131072

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# using `transformers==4.49.0` there's a input side-effect when calling the processor
# this example shows the case for Qwen2.5-VL

from transformers import AutoProcessor
from qwen_vl_utils import process_vision_info

processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-VL-3B-Instruct")

messages1 = [
    {

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