generate error transformers version？

[JNUpython]

he tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization. The tokenizer class you load from this checkpoint is 'LLaMATokenizer'. The class this function is called from is 'LlamaTokenizer'. Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 33/33 [00:17<00:00, 1.93it/s] Traceback (most recent call last): File "/root/autodl-tmp/alpaca-lora/generate.py", line 184, in fire.Fire(main) File "/root/miniconda3/lib/python3.10/site-packages/fire/core.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "/root/miniconda3/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire component, remaining_args = _CallAndUpdateTrace( File "/root/miniconda3/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace component = fn(*varargs, **kwargs) File "/root/autodl-tmp/alpaca-lora/generate.py", line 37, in main model = LlamaForCausalLM.from_pretrained( File "/root/miniconda3/lib/python3.10/site-packages/transformers/modeling_utils.py", line 2694, in from_pretrained dispatch_model(model, device_map=device_map, offload_dir=offload_folder, offload_index=offload_index) TypeError: dispatch_model() got an unexpected keyword argument 'offload_index' root

[JNUpython]

Python 3.10.4 (main, Mar 31 2022, 08:41:55) [GCC 7.5.0] on linux Type "help", "copyright", "credits" or "license" for more information.

import transformers transformers.version '4.28.0.dev0'

[JNUpython]

2692 # Dispatch model with hooks on all devices if necessary 2693 if device_map is not None: 2694 dispatch_model(model, device_map=device_map, offload_dir=offload_folder, offload_index=offload_index) 2695 defined offload_index paras

[loveaguai]

same problem

[loveaguai]

same problem