Update README.md

README.md

@@ -7,7 +7,7 @@ datasets:
 
 ## Model Card Details
 
-This model is an int4 model with group_size 128 and symmetric quantization of [allenai/OLMo-2-1124-13B-Instruct](https://huggingface.co/allenai/OLMo-2-1124-13B-Instruct) generated by [intel/auto-round](https://github.com/intel/auto-round). Load the model  with revision `90c15db` to use AutoGPTQ format
+This model is an int4 model with group_size 128 and symmetric quantization of [allenai/OLMo-2-1124-13B-Instruct](https://huggingface.co/allenai/OLMo-2-1124-13B-Instruct) generated by [intel/auto-round](https://github.com/intel/auto-round). Load the model  with revision `4b5e415` to use AutoGPTQ format
 
 ## Inference on CPU/HPU/CUDA
 
@@ -28,7 +28,7 @@ model = AutoModelForCausalLM.from_pretrained(
     quantized_model_dir,
     torch_dtype='auto',
     device_map="auto",
-    ##revision="90c15db", ##AutoGPTQ format
+    ##revision="4b5e415", ##AutoGPTQ format
 )
 
 ##import habana_frameworks.torch.core as htcore ## uncommnet it for HPU
@@ -136,7 +136,7 @@ Here is the sample command to generate the model.
 
 ```bash
 auto-round  \
---model allenai/OLMo-2-1124-13B-Instruct \
+--model OLMo-2-1124-13B-Instruct \
 --device 0 \
 --nsamples 512 \
 --model_dtype "fp16" \