Update README.md

README.md

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 This model was converted to GGUF format from [`nvidia/Llama-3.1-Nemotron-Nano-8B-v1`](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-8B-v1) for more details on the model.
 
+---
+Llama-3.1-Nemotron-Nano-8B-v1 is a large language model (LLM) which is a derivative of Meta Llama-3.1-8B-Instruct
+ (AKA the reference model). It is a reasoning model that is post trained
+ for reasoning, human chat preferences, and tasks, such as RAG and tool 
+calling. 
+
+
+Llama-3.1-Nemotron-Nano-8B-v1 is a model which offers a great 
+tradeoff between model accuracy and efficiency. It is created from Llama
+ 3.1 8B Instruct and offers improvements in model accuracy. The model 
+fits on a single RTX GPU and can be used locally. The model supports a 
+context length of 128K.
+
+
+This model underwent a multi-phase post-training process to enhance 
+both its reasoning and non-reasoning capabilities. This includes a 
+supervised fine-tuning stage for Math, Code, Reasoning, and Tool Calling
+ as well as multiple reinforcement learning (RL) stages using REINFORCE 
+(RLOO) and Online Reward-aware Preference Optimization (RPO) algorithms 
+for both chat and instruction-following. The final model checkpoint is 
+obtained after merging the final SFT and Online RPO checkpoints. 
+Improved using Qwen.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)