Update README.md

README.md

@@ -5,7 +5,7 @@ datasets:
 
 ## Model Details
 
-This model is an int4 model with group_size 128 and symmetric quantization of [falcon-three-7b]() generated by [intel/auto-round](https://github.com/intel/auto-round). Load the model with revision `` to use AutoGPTQ format, with revision `` to use AutoAWQ format
+This model is an int4 model with group_size 128 and symmetric quantization of [falcon-three-7b]() generated by [intel/auto-round](https://github.com/intel/auto-round). Load the model with revision `` to use AutoGPTQ format, with revision `e9aa317` to use AutoAWQ format
 
 ## How To Use
 ### INT4 Inference(CPU/HPU/CUDA)
@@ -19,7 +19,7 @@ model = AutoModelForCausalLM.from_pretrained(
     quantized_model_dir,
     device_map="auto"
     ## revision="" ##AutoGPTQ format
-    ## revision="" ##AutoAWQ format
+    ## revision="e9aa317" ##AutoAWQ format
 )
 text = "How many r in strawberry? The answer is "
 inputs = tokenizer(text, return_tensors="pt", return_token_type_ids=False).to(model.device)