Update README.md

README.md

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 # Mistral-Nemo-12B-Instruct-ONNX-INT4
 
+## Model Developer : Mistral
 
 ### Model Description
 
 Mistral-NeMo is a Large Language Model (LLM) composed of 12B parameters.  This model leads accuracy on popular benchmarks across common sense reasoning, coding, math, multilingual and multi-turn chat tasks; it significantly outperforms existing models smaller or similar in size. 
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-We downloaded Mistral Nemo 12B instruct model in Pytorch bfloat16 format from HuggingFace. We used Onnxruntime-GenAI to convert the model from Pytorch FP16 format to ONNX FP16 format. We used TensorRT Model Optimizer - Windows tool to convert the model from ONNX FP16 format to ONNX INT4  fomat.  We have posted the Mistral Nemo 12B ONNX INT4 model files here.  
+ 
+The NVIDIA Mistral-Nemo-12B Instruct ONNX INT4 model is quantized with [TensorRT Model Optimizer](https://github.com/NVIDIA/TensorRT-Model-Optimizer). 
+
+
+Steps followed to generate this quantized model:  
+
+* 1. Download Mistral-Nemo-12B Instruct model in Pytorch bfloat16 format from HuggingFace.   
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+* 2. Convert PyTorch model to ONNX FP16 using onnxruntime-genai model builder.   
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+* 3. Quantize Mistral-Nemo-12B Instruct ONNX FP16 model to Mistral-Nemo-12B Instruct ONNX INT4 AWQ model using TensorRT Model Optimizer – Windows.
+ 
 
 This model is ready for commercial/non-commercial use.