Update README.md

README.md

@@ -29,4 +29,20 @@ The leaderboard is evaluated with our evaluation [code](https://github.com/LLM36
 |                | LiveBench♡                     |       18.57 |                   19.76  |       12.64 |          15.20 |        34.30 |         28.78 |            28.33 |
 |                | **Average Score**              | **43.29**   | **33.76**               | **35.42**   | **33.97**      | **54.24**    | **47.53**     | **46.25**        |
 
+
+
+Example usage:
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model = "LLM360/Guru-32B"
+tokenizer = AutoTokenizer.from_pretrained(model)
+model = AutoModelForCausalLM.from_pretrained(model, device_map="auto", torch_dtype="auto")
+
+messages = [{"role": "user", "content": "What is reinforcement learning?"}]
+prompt = tokenizer.apply_chat_template(messages, return_tensors="pt").to(model.device)
+outputs = model.generate(prompt, max_new_tokens=256, temperature=1.0, top_p=0.7)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
 Please refer to the [paper](https://arxiv.org/abs/2506.14965) for more details.