Update README.md

README.md

@@ -43,8 +43,7 @@ tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-14B-Instruct-1M")
 model  = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", torch_dtype=torch.bfloat16)
 
 event = 'The Magna Carta'
-prompt = f"Q: Craft a compelling first-person historical narrative that captures the significance of {event} and the essence of its era.
-Think step by step about the key events, historical accuracy, stylistic prose, emotions, and sensory details that define the period.\nA: "
+prompt = f"Q: Craft a compelling first-person historical narrative that captures the significance of {event} and the essence of its era. Think step by step about the key events, historical accuracy, stylistic prose, emotions, and sensory details that define the period.\nA: "
 
 inputs = tokenizer.encode(prompt, return_tensors = 'pt').to(model.device)
 output = model.generate(inputs, max_new_tokens = 750, pad_token_id = tokenizer.pad_token_id, do_sample = True)