can instructcodet5p-16b module run in Cpu

[gjm-anban]

hello,I run instructcodet5p-16b module in CPU ,this is the code

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
import torch

checkpoint = "Salesforce/instructcodet5p-16b"
device = "cpu" # for GPU usage or "cpu" for CPU usage

tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint,
                                              torch_dtype=torch.float16,
                                              low_cpu_mem_usage=True,
                                              trust_remote_code=True).to(device)

encoding = tokenizer("def print_hello_world():", return_tensors="pt").to(device)
encoding['decoder_input_ids'] = encoding['input_ids'].clone()
outputs = model.generate(**encoding, max_length=15,pad_token_id=tokenizer.eos_token_id)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

but it comeout with an error

I want to know whether this model can support cpu and how to fix the error

[gjm-anban]

I can run in CPU now ,but it takes huge ram. The ram up to 64.9G（the machine ram total 83.5G）