Update README.md

README.md

@@ -18,8 +18,8 @@ language:
 
 # NeuralQwen-2.5-1.5B-Spanish
 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/bQMhMwK-xDvHMIbDFpxN5.png)
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/Tu9FV0dQJXz-mlriKNqdE.png)
 
 NeuralQwen-2.5-1.5B-Spanish is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)
@@ -56,7 +56,8 @@ import transformers
 import torch
 
 model = "Kukedlc/NeuralQwen-2.5-1.5B-Spanish"
-messages = [{"role": "user", "content": "What is a large language model?"}]
+messages = [{"role": "system", "content": "Eres un asistente de pensamiento logico que piensa paso a paso, por cada pregunta que te hagan deberes comprobar la respuesta por 3 metodos diferentes."}, 
+            {"role": "user", "content": "Cuantas letras 'r' tiene la palabra strawberry?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)
 prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
@@ -69,4 +70,6 @@ pipeline = transformers.pipeline(
 
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
-```
+```
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d71ab4089bc502ceb44d29/Tu9FV0dQJXz-mlriKNqdE.png)