Model saved from deepspeed and accelerate cannot be loaded or incomeplete

I train/fine-tune the Mistral-24B small model (mistralai/Mistral-Small-24B-Instruct-2501) using deepspeed and accelerate
and I saved the model using following commands:

if accelerator.is_main_process:
      model =accelerator.unwrap_model(trainer.model)
      model.save_pretrained(model_path)
      tokenizer.save_pretrained(model_path)

However when I try to load the model using
AutoModelForCausalLM.from_pretrained(model_path)
I got weight mismatch size error.

This is how the folder look like can

folder/
         chat_template.jinja
         config.json
         generate_config.json
         model.safetensors
         special_tokens_map.json
         tokenizer_config.json
         tokenizer.json

Can anyone tell me what is going on here and how to solve the problem.

Start by reproducing the save flow using DeepSpeed and Accelerate, including accelerator.unwrap_model(trainer.model), model.save_pretrained(model_path), and AutoModelForCausalLM.from_pretrained(model_path). Compare the saved folder contents and reported weight-mismatch sizes to determine whether the model can be loaded completely; done means the saved Mistral-Small-24B-Instruct-2501 model loads successfully.