Update README.md

README.md

@@ -31,14 +31,14 @@ This model uses the MosaicML LLM codebase, which can be found in the [llm-foundr
 
 ### Models finetuned off MPT-7B (Base):
 
-* [MPT-7B-StoryWriter-65k+ [LINK]]{}: a model designed to read and write fictional stories with super long context lengths.
+* [MPT-7B-StoryWriter-65k+](https://huggingface.co/mosaicml/mpt-7b-storywriter): a model designed to read and write fictional stories with super long context lengths.
 It is built by finetuning MPT-7B with a context length of 65k tokens on a filtered fiction subset of the [books3 dataset](https://huggingface.co/datasets/the_pile_books3).
 At inference time, thanks to [ALiBi](https://arxiv.org/abs/2108.12409), MPT-7B-StoryWriter-65k+ can extrapolate even beyond 65k tokens.
 We demonstrate generations as long as 80k tokens on a single A100-80GB GPU in our blogpost {HERE}.
   * License: _Apache-2.0_ (commercial use permitted)
 
 * [MPT-7B-Instruct](https://huggingface.co/mosaicml/mpt-7b-instruct): a model for short-form instruction following.
-It is built by finetuning MPT-7B on a [dataset](https://huggingface.co/datasets/sam-mosaic/dolly_hhrlhf) we also release, derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets. 
+It is built by finetuning MPT-7B on a [dataset](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf) we also release, derived from the [Databricks Dolly-15k](https://huggingface.co/datasets/databricks/databricks-dolly-15k) and the [Anthropic Helpful and Harmless (HH-RLHF)](https://huggingface.co/datasets/Anthropic/hh-rlhf) datasets. 
   * License: _CC-By-SA-3.0_ (commercial use permitted)
   * [Online Demo on HuggingFace Spaces](https://huggingface.co/spaces/mosaicml/mpt-7b-instruct)