diff --git a/tests/e2e/solo/test_grpo.py b/tests/e2e/solo/test_grpo.py
new file mode 100644
index 000000000..d511c33bc
--- /dev/null
+++ b/tests/e2e/solo/test_grpo.py
@@ -0,0 +1,81 @@
+"""
+E2E tests for GRPO
+"""
+
+import logging
+import os
+import unittest
+
+import transformers
+
+from axolotl.cli.args import PreprocessCliArgs
+from axolotl.common.datasets import load_preference_datasets
+from axolotl.utils.config import normalize_config, validate_config
+from axolotl.utils.dict import DictDefault
+
+from ..utils import with_temp_dir
+
+LOG = logging.getLogger("axolotl.tests.e2e")
+os.environ["WANDB_DISABLED"] = "true"
+
+
+class TestGRPO(unittest.TestCase):
+    """
+    Test case for GRPO training using single GPU
+    """
+
+    def _utils_write_rewards(self):
+        # write cfg to yaml file
+        with open("rewards.py", "w", encoding="utf-8") as fout:
+            fout.write(
+                """import random
+def rand_reward_func(completions, **kwargs) -> list[float]:
+    return [random.uniform(0, 1) for _ in completions]
+
+def oai_gsm8k_transform(cfg, *args, **kwargs):
+    def transform_fn(example, tokenizer=None):
+        label = example["answer"].split("####")[-1].strip().replace(",", "")
+        return {
+            "prompt": [{"role": "user", "content": example["question"]},],
+            "answer": label,
+        }
+    return transform_fn, {"remove_columns": ["question"]}
+"""
+            )
+
+    @with_temp_dir
+    def test_custom_rewards_fn_loading(self):
+        # pylint: disable=duplicate-code
+        cfg = DictDefault(
+            {
+                "rl": "grpo",
+                "trl": [
+                    {
+                        "beta": 0.001,
+                        "max_completion_length": 256,
+                        "use_vllm": True,
+                        "num_generations": 4,
+                        "reward_funcs": [
+                            "rewards.rand_reward_func"
+                        ],  # format: '{file_name}.{fn_name}'
+                        "reward_weights": [1.0],
+                    },
+                ],
+                "datasets": [
+                    {
+                        "path": "openai/gsm8k",
+                        "name": "main",
+                        "type": "rewards.oai_gsm8k_transform",
+                    },
+                ],
+            }
+        )
+
+        self._utils_write_rewards()
+
+        cfg = validate_config(cfg)
+        normalize_config(cfg)
+        parser = transformers.HfArgumentParser(PreprocessCliArgs)
+        cli_args, _ = parser.parse_args_into_dataclasses(return_remaining_strings=True)
+
+        load_preference_datasets(cfg=cfg, cli_args=cli_args)