Update README.md

README.md

@@ -37,8 +37,8 @@ model = AutoModelForCausalLM.from_pretrained(
   torch_dtype="auto",
 )
 model.cuda()
-prompt = f"<|user|>\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?<|endoftext|>\n<|assistant|>\n"
-inputs = tokenizer("The weather is always wonderful", return_tensors="pt").to("cuda")
+prompt = "<|user|>\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?<|endoftext|>\n<|assistant|>\n"
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
 tokens = model.generate(
   **inputs,
   max_new_tokens=1024,
@@ -73,6 +73,9 @@ The dataset is comprised of a mixture of open datasets large-scale datasets avai
 
 ## Performance
 
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63466107f7bd6326925fc770/4mr7jP_RpWEBvtwwFMUqh.png)
+
 At the time of release, Zephyr-7B-β is the highest ranked 7B chat model on the [MT-Bench](https://huggingface.co/spaces/lmsys/mt-bench) and [AlpacaEval](https://tatsu-lab.github.io/alpaca_eval/) benchmarks:
 
 | Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |