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Clarified README 

Made it more visible that the recurrent weights are at a different Kaggle page.
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@ -252,7 +252,7 @@ here provide a C++ implementation of this model based on the paper.
To use the recurrent version of Gemma included in this repository, build the To use the recurrent version of Gemma included in this repository, build the
gemma binary as noted above in Step 3. Download the compressed weights and gemma binary as noted above in Step 3. Download the compressed weights and
tokenizer from tokenizer from the RecurrentGemma
[Kaggle](https://www.kaggle.com/models/google/recurrentgemma/gemmaCpp) as in [Kaggle](https://www.kaggle.com/models/google/recurrentgemma/gemmaCpp) as in
Step 1, and run the binary as follows: Step 1, and run the binary as follows: