Add cot instruction

README.md

@@ -28,19 +28,24 @@ Here give some examples of how to use our model.
 
 **Chat Completion**
 
+❗❗❗ **Please use chain-of-thought prompt to test DeepSeekMath-Instruct and DeepSeekMath-RL:**
+
+- English questions: **{question}\nPlease reason step by step, and put your final answer within \\boxed{}.**
+
+- Chinese questions: **{question}\n请通过逐步推理来解答问题，并把最终答案放置于\\boxed{}中。**
 
 ```python
 import torch
 from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
 
-model_name = "deepseek-ai/deepseek-math-7b-rl"
+model_name = "deepseek-ai/deepseek-math-7b-instruct"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
 model.generation_config = GenerationConfig.from_pretrained(model_name)
 model.generation_config.pad_token_id = model.generation_config.eos_token_id
 
 messages = [
-    {"role": "user", "content": "what is the integral of x^2 from 0 to 2?"}
+    {"role": "user", "content": "what is the integral of x^2 from 0 to 2?\nPlease reason step by step, and put your final answer within \\boxed{}."}
 ]
 input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt")
 outputs = model.generate(input_tensor.to(model.device), max_new_tokens=100)