add another link

README.md

@@ -10,7 +10,7 @@ inference: false
 <!-- Provide a quick summary of what the model is/does. -->
 
 SN-13B-8k-Instruct is a 13 billion parameter model. It is both pretrained from scratch as well as instruction tuned on
-Sambanova Datascale systems. This model is meant to be used for tasks requiring long sequence understanding.
+[SambaNova DataScale systems](https://sambanova.ai/products/datascale/). This model is meant to be used for tasks requiring long sequence understanding.
 
 ## Model Details
 
@@ -100,7 +100,7 @@ print(tokenizer.batch_decode(outputs))
 We trained SN-13B-8k-Instruct with [SambaNova DataScale systems](https://sambanova.ai/products/datascale/) with
 SambaNova's in-house Reconfigurable Dataflow Unit (RDU). We started from random weights, and pretrained for 300 Billion
 tokens on sequences of size 2048. We then pretrained for another 500 Billion tokens on sequences of size 8192.
-During this phase of training, we curated a dataset that has a large proportion of long sequence articles with
+During this phase of training, we curated a dataset that had a large proportion of long sequence articles, with
 30% of our articles consisting of greater than 6000 words.
 
 We applied instruction tuning on a variety of tasks derived from datasets such as FLANv2, P3, NLI, etc.