talktoaiZERO is a fine-tuned version of the
Meta-Llama-3.1-8B-Instruct model, specifically designed for conversational AI with advanced features in original quantum math quantum thinking and mathematical ethical decision-making. The model was trained using
AutoTrain
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_path = "PATH_TO_THIS_REPO"
4
5tokenizer = AutoTokenizer.from_pretrained(model_path)
6model = AutoModelForCausalLM.from_pretrained(
7 model_path,
8 device_map="auto",
9 torch_dtype='auto'
10).eval()
11
12# Sample conversation
13messages = [
14 {"role": "user", "content": "What are the ethical implications of quantum mechanics in AI systems?"}
15]
16
17input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
18output_ids = model.generate(input_ids.to('cuda'))
19response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
20
21# Model response: "Quantum mechanics introduces complexity, but the goal remains ethical decision-making."
22print(response)
