Update README.md

README.md

@@ -195,7 +195,7 @@ Stage 3: Reinforcement Learning
 
 NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 model is a result of the above work.
 
-The end-to-end training recipe is available in the [NVIDIA Nemotron Developer Repository](https://github.com/NVIDIA-NeMo/Nemotron). Evaluation results can be replicated using the [NeMo Evaluator SDK](https://github.com/NVIDIA-NeMo/Evaluator). More details on the datasets and synthetic data generation methods can be found in the technical report [NVIDIA Nemotron Nano v3](https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Nano-Technical-Report.pdf).
+The end-to-end training recipe is available in the [NVIDIA Nemotron Developer Repository](https://github.com/NVIDIA-NeMo/Nemotron). Evaluation results can be replicated using the [NeMo Evaluator SDK](https://github.com/NVIDIA-NeMo/Evaluator). More details on the datasets and synthetic data generation methods can be found in the technical report [NVIDIA Nemotron 3 Nano](https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Nano-Technical-Report.pdf).
 
 ## Input
 
@@ -400,7 +400,7 @@ For all domains, we apply a unified data filtering pipeline to ensure that only
 
 Alongside the model, we release our final [pre-training](https://huggingface.co/collections/nvidia/nemotron-pre-training-datasets) and [post-training](https://huggingface.co/collections/nvidia/nemotron-post-training-v3) data, as outlined in this section. For ease of analysis, there is a sample set that is ungated. For all remaining code, math and multilingual data, gating and approval is required, and the dataset is permissively licensed for model training purposes.
 
-More details on the datasets and synthetic data generation methods can be found in the technical report [NVIDIA Nemotron Nano v3](https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Nano-Technical-Report.pdf).
+More details on the datasets and synthetic data generation methods can be found in the technical report [NVIDIA Nemotron 3 Nano](https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Nano-Technical-Report.pdf).
 
 | Dataset | Collection Period |
 | :---- | :---- |
@@ -588,7 +588,7 @@ The GitHub Crawl was collected using the GitHub REST API and the Amazon S3 API.
 
 ## Training Dataset
 
-| Dataset | \# of Tokens in Nemotron Nano 2 | \# of Tokens in Nemotron Nano 3 |
+| Dataset | \# of Tokens in Nemotron Nano 2 | \# of Tokens in Nemotron 3 Nano |
 | :---- | :---- | :---- |
 | English Common Crawl | 3,360,110,334,818 | 3,456,523,212,210 |
 | English Synthetic CC | 1,949,464,641,123 | 4,340,740,677,920 |