Salesforce
/

xLAM-8x22b-r

@@ -62,13 +62,14 @@ We provide a series of xLAMs in different sizes to cater to various applications
 For our Function-calling series (more details are included at [here](https://huggingface.co/Salesforce/xLAM-7b-fc-r)), we also provide their quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) files for efficient deployment and execution. GGUF is a file format designed to efficiently store and load large language models, making GGUF ideal for running AI models on local devices with limited resources, enabling offline functionality and enhanced privacy.
 For more details, check our [GitHub](https://github.com/SalesforceAIResearch/xLAM) and [paper]().
 ## Repository Overview

 For our Function-calling series (more details are included at [here](https://huggingface.co/Salesforce/xLAM-7b-fc-r)), we also provide their quantized [GGUF](https://huggingface.co/docs/hub/en/gguf) files for efficient deployment and execution. GGUF is a file format designed to efficiently store and load large language models, making GGUF ideal for running AI models on local devices with limited resources, enabling offline functionality and enhanced privacy.
 For more details, check our [GitHub](https://github.com/SalesforceAIResearch/xLAM) and [paper]().
+## Check Latest Examples on Interaction with xLAM
+Here is the [latest examples and tokenizer](https://huggingface.co/Salesforce/xLAM-8x22b-r/blob/main/example/xlam_chat_template_examples_11_21.ipynb) on interacting with xLAM models.
 ## Repository Overview