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Llama-3_1-Nemotron-Ultra-253B-v1

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jiaqiz commited on Apr 8

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update README.md

Signed-off-by: Jiaqi Zeng <jiaqiz@nvidia.com>

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 ## Model Overview
-*![][image1]*
 Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) which is a derivative of [Meta Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-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. The model supports a context length of 128K tokens. This model fits on a single 8xH100 node for inference.
@@ -30,7 +30,7 @@ This model is ready for commercial use.
 For more details on how the model was trained, please see [this blog](https://developer.nvidia.com/blog/build-enterprise-ai-agents-with-advanced-open-nvidia-llama-nemotron-reasoning-models/).
-![][image2]
 This model is part of the Llama Nemotron Collection. You can find the other model(s) in this family here:

 ## Model Overview
+![Accuracy](accuracy_plot.png)
 Llama-3.1-Nemotron-Ultra-253B-v1 is a large language model (LLM) which is a derivative of [Meta Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-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. The model supports a context length of 128K tokens. This model fits on a single 8xH100 node for inference.
 For more details on how the model was trained, please see [this blog](https://developer.nvidia.com/blog/build-enterprise-ai-agents-with-advanced-open-nvidia-llama-nemotron-reasoning-models/).
+![Training Process](training_flowchart.png)
 This model is part of the Llama Nemotron Collection. You can find the other model(s) in this family here: