Update README.md

README.md

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 ## Model Description
 
-NVLLM-GPT 2B is a transformer-based language model. GPT refers to a class of transformer decoder-only models similar to GPT-2 and 3 while 2B refers to the total trainable parameter count (2 Billion) [1, 2].
+GPT-2B-001 is a transformer-based language model. GPT refers to a class of transformer decoder-only models similar to GPT-2 and 3 while 2B refers to the total trainable parameter count (2 Billion) [1, 2].
 
-This model was trained with [NeMo Megatron](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/intro.html).
+This model was trained on 1.1T tokens with [NeMo](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/nemo_megatron/intro.html).
 
 ## Model Architecture improvements
 
@@ -168,7 +168,8 @@ The model was trained on 1.1T tokens obtained from publicly available data sourc
 
 ## Limitations
 
-The model was trained on the data originally crawled from the Internet. This data contains toxic language and societal biases. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts.   
+The model was trained on the data originally crawled from the Internet. This data contains toxic language and societal biases. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts.
+We did not perform any bias/toxicity removal or model alignment on this checkpoint.
 
 ## References