Update README.md

README.md

@@ -56,7 +56,7 @@ For faster performance, you can quantize the model using the following method:
 ```python
 AutoModelForCausalLM.from_pretrained("allenai/OLMo-2-1124-13B", 
     torch_dtype=torch.float16, 
-    load_in_8bit=True)  # Requires bitsandbytes package
+    load_in_8bit=True)  # Requires bitsandbytes
 ```
 The quantized model is more sensitive to data types and CUDA operations. To avoid potential issues, it's recommended to pass the inputs directly to CUDA using:
 ```python