Update README.md

README.md

@@ -80,7 +80,7 @@ Moreover, TTMs are lightweight and can be executed even on CPU-only machines, en
 adoption in resource-constrained environments. For more details, refer to our [paper](https://arxiv.org/pdf/2401.03955.pdf).
 - TTM-B referred in the paper maps to the `512-96-r2` model.
 - TTM-E referred in the paper maps to the `1024-96-r2` model.
-- TTM-A referred in the paper maps to the `1536-96-r2' model
+- TTM-A referred in the paper maps to the `1536-96-r2` model
 
 Please note that the Granite TTM models are pre-trained exclusively on datasets
 with clear commercial-use licenses that are approved by our legal team. As a result, the pre-training dataset used in this release differs slightly from the one used in the research