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Stack 2.9 - Simple Local Chat
Run the fine-tuned model locally on your machine
"""
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
MODEL_PATH = "/Users/walidsobhi/stack-2-9-final-model"
print("Loading model...")
tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
MODEL_PATH,
torch_dtype=torch.float16,
device_map="auto",
trust_remote_code=True
)
print("Model loaded!\n")
def chat(prompt):
messages = [
{"role": "system", "content": "You are a helpful coding assistant."},
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer([text], return_tensors="pt").to(model.device)
outputs = model.generate(
**inputs,
max_new_tokens=512,
temperature=0.7,
do_sample=True,
pad_token_id=tokenizer.pad_token_id
)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
return response[len(text):].strip()
# Interactive loop
while True:
prompt = input("You: ")
if prompt.lower() in ['quit', 'exit']:
break
print("Thinking...")
print(f"Bot: {chat(prompt)}\n")
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