Update link to tech report

README.md

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 ## Model Overview
 
-Mistral-NeMo-Minitron-8B-Base is a base text-to-text model that can be adopted for a variety of natural language generation tasks. It is a large language model (LLM) obtained by pruning and distilling the Mistral-NeMo 12B; specifically, we prune the embedding dimension and MLP intermediate dimension in the  model. Following pruning, we perform continued training with distillation using 380 billion tokens to arrive at the final model; we use the continuous pre-training data corpus used in Nemotron-4 15B for this purpose. 
+Mistral-NeMo-Minitron-8B-Base is a base text-to-text model that can be adopted for a variety of natural language generation tasks. It is a large language model (LLM) obtained by pruning and distilling the Mistral-NeMo 12B; specifically, we prune the embedding dimension and MLP intermediate dimension in the  model. Following pruning, we perform continued training with distillation using 380 billion tokens to arrive at the final model; we use the continuous pre-training data corpus used in Nemotron-4 15B for this purpose. Please refer to our [technical report](https://arxiv.org/abs/2408.11796) for more details.
 
 **Model Developer:** NVIDIA
 
@@ -140,5 +140,6 @@ Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.
 
 
 ## References
+
 * [Minitron: Compact Language Models via Pruning and Knowledge Distillation](https://arxiv.org/abs/2407.14679)
-* [LLM Pruning and Distillation in Practice: The Minitron Approach](https://research.nvidia.com/publication/_llm-pruning-and-distillation-practice-minitron-approach)
+* [LLM Pruning and Distillation in Practice: The Minitron Approach](https://arxiv.org/abs/2408.11796)