update 20b link

README.md

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 ### Granite-20B-FunctionCalling
 #### Model Summary
-Granite-20B-FunctionCalling is a finetuned model based on IBM's granite-20b-code instruct to introduce function calling abilities into Granite model family. The model is trained using a multi-task training approach on seven fundamental tasks encompassed in function calling, those being Nested Function Calling, Function Chaining, Parallel Functions, Function Name Detection, Parameter-Value Pair Detection, Next-Best Function, and Response Generation.
+Granite-20B-FunctionCalling is a finetuned model based on IBM's [granite-20b-code-instruct](https://huggingface.co/ibm-granite/granite-20b-code-instruct) model to introduce function calling abilities into Granite model family. The model is trained using a multi-task training approach on seven fundamental tasks encompassed in function calling, those being Nested Function Calling, Function Chaining, Parallel Functions, Function Name Detection, Parameter-Value Pair Detection, Next-Best Function, and Response Generation.
 
 - **Developers**: IBM Research
 - **Paper**: [Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks](https://arxiv.org/pdf/2407.00121v1)