Update README.md

README.md

@@ -20,7 +20,7 @@ model-index:
 
 We used LoRa to further pre-train Meta's CodeLLaMA-7B-hf model with high-quality C++ code tokens.
 
-Furthermore, we was fine-tuned on CodeM's C++ instruction data.
+Furthermore, we fine-tuned on CodeM's C++ instruction data.
 
 ## Model Details
 
@@ -35,10 +35,7 @@ We pre-trained CodeLLaMA-7B further using 543 GB of C++ code collected online, a
 ## Requirements
 
 ```
-peft==0.3.0.dev0 
-tokenizers==0.13.3 
-transformers==4.33.0 
-bitsandbytes==0.41.1
+pip install torch transformers accelerate
 ```
 
 ## How to reproduce HumanEval-X results
@@ -86,7 +83,7 @@ pipeline = transformers.pipeline(
 )
 
 sequences = pipeline(
-    'import socket\n\ndef ping_exponential_backoff(host: str):',
+    '#include <iostream>\n#include <vector>\n\nusing namespace std;\n\nvoid quickSort(int *data, int start, int end) {',
     do_sample=True,
     top_k=10,
     temperature=0.1,