Update README.md

README.md

@@ -35,11 +35,11 @@ Zephyr is a series of language models that are trained to act as helpful assista
 <!-- Provide the basic links for the model. -->
 
 - **Repository:** https://github.com/huggingface/alignment-handbook
-- **Demo:** https://huggingface.co/spaces/HuggingFaceH4/zephyr-playground
+- **Demo:** https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat
 
 ## Intended uses & limitations
 
-The model was initially fine-tuned on a variant of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contain 64k prompts and model completions that are ranked by GPT-4. As a result, the model can be used for chat and you can check out our [demo](https://huggingface.co/spaces/HuggingFaceH4/zephyr-playground) to test its capabilities. 
+The model was initially fine-tuned on a variant of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contain 64k prompts and model completions that are ranked by GPT-4. As a result, the model can be used for chat and you can check out our [demo](https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat) to test its capabilities. 
 
 Here's how you can run the model using the `pipeline()` function from 🤗 Transformers: