This video walks through step by step guide to locally install top code AI Model which can run on CPU and its very small in size. 

Code:

pip install transformers torch

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("stabilityai/stable-code-3b", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
  "stabilityai/stable-code-3b",
  trust_remote_code=True,
  torch_dtype="auto",
)
model.cuda()
inputs = tokenizer("write me a script in Java to reverse a list", return_tensors="pt").to(model.device)
tokens = model.generate(
  **inputs,
  max_new_tokens=500,
  temperature=0.2,
  do_sample=True,
)
print(tokenizer.decode(tokens[0], skip_special_tokens=True))