Errors of llava pretrain for phi3_mini_4k_instruct_clip_vit_large_p14_336

I strictly follow the document for phi3_mini_4k_instruct_clip_vit_large_p14_336.
**Run comand**
NPROC_PER_NODE=4 xtuner train llava_phi3_mini_4k_instruct_clip_vit_large_p14_336_e1_gpu8_pretrain --deepspeed deepspeed_zero2 --seed 1024

**conda environment**
python==3.10
transformers==4.41.1
torch==2.3.0
CUDA 12.1
4x3090

> 05/23 08:10:20 - mmengine - INFO - before_train in EvaluateChatHook.
> You are using an old version of the checkpointing format that is deprecated (We will also silently ignore `gradient_checkpointing_kwargs` in case you passed it).Please update to the new format on your modeling file. To use the new format, you need to completely remove the definition of the method `_set_gradient_checkpointing` in your model.
> [rank3]: Traceback (most recent call last):
> [rank3]: File "/media/ljm/anaconda3/envs/xtuner/lib/python3.10/site-packages/mmengine/runner/_flexible_runner.py", line 1271, in call_hook
> [rank3]: getattr(hook, fn_name)(self, **kwargs)
> [rank3]: File "/home/xtuner/xtuner/engine/hooks/evaluate_chat_hook.py", line 230, in before_train
> [rank3]: self._generate_samples(runner, max_new_tokens=50)
> [rank3]: File "/home/xtuner/xtuner/engine/hooks/evaluate_chat_hook.py", line 216, in _generate_samples
> [rank3]: self._eval_images(runner, model, device, max_new_tokens,
> [rank3]: File "/home/xtuner/xtuner/engine/hooks/evaluate_chat_hook.py", line 148, in _eval_images
> [rank3]: generation_output = model.generate(
> [rank3]: File "/media/ljm/anaconda3/envs/xtuner/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
> [rank3]: return func(*args, **kwargs)
> [rank3]: File "/media/ljm/anaconda3/envs/xtuner/lib/python3.10/site-packages/transformers/generation/utils.py", line 1758, in generate
> [rank3]: result = self._sample(
> [rank3]: File "/media/ljm/anaconda3/envs/xtuner/lib/python3.10/site-packages/transformers/generation/utils.py", line 2390, in _sample
> [rank3]: model_kwargs = self._get_initial_cache_position(input_ids, model_kwargs)
> [rank3]: File "/media/ljm/anaconda3/envs/xtuner/lib/python3.10/site-packages/transformers/generation/utils.py", line 1321, in _get_initial_cache_position
> [rank3]: past_length = model_kwargs["past_key_values"][0][0].shape[2]
> [rank3]: TypeError: 'NoneType' object is not subscriptable