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README.md

@@ -117,9 +117,9 @@ print("content:", content)
 
 Install the required packages:
 ```Shell
+pip install torch
 pip install git+https://github.com/huggingface/transformers@main
 pip install --pre torchao --index-url https://download.pytorch.org/whl/nightly/cu126
-pip install torch
 pip install accelerate
 ```
 
@@ -137,10 +137,10 @@ model_to_quantize = "google/gemma-3-12b-it"
 from torchao.quantization import Float8DynamicActivationFloat8WeightConfig, PerRow
 quant_config = Float8DynamicActivationFloat8WeightConfig(granularity=PerRow())
 quantization_config = TorchAoConfig(quant_type=quant_config)
-
 quantized_model = AutoModelForCausalLM.from_pretrained(model_to_quantize, device_map="auto", torch_dtype=torch.bfloat16, quantization_config=quantization_config)
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 
+
 # Push to hub
 USER_ID = "YOUR_USER_ID"
 MODEL_NAME = model_id.split("/")[-1]