Update README.md

README.md

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 MPT-7B-StoryWriter-65k+ is a model designed to read and write fictional stories with super long context lengths.
 It was 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 84k tokens on a single A100-80GB GPU in our [blogpost](www.mosaicml.com/blog/mpt-7b).
+We demonstrate generations as long as 84k tokens on a single node of 8 A100-80GB GPUs in our [blogpost](www.mosaicml.com/blog/mpt-7b).
   * License: _Apache-2.0_ (commercial use permitted)
 
 This model was trained by [MosaicML](https://www.mosaicml.com) and follows a modified decoder-only transformer architecture.
@@ -26,7 +26,7 @@ Apache-2.0 (commercial use permitted)
 
 ## Documentation
 
-* [Blog post: Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs](www.mosaicml.com/blog/mpt-7b)
+* [Blog post: Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs](https://www.mosaicml.com/blog/mpt-7b)
 * [Codebase (mosaicml/llm-foundry repo)](https://github.com/mosaicml/llm-foundry/)
 * Questions: Feel free to contact us via the [MosaicML Community Slack](https://join.slack.com/t/mosaicml-community/shared_invite/zt-w0tiddn9-WGTlRpfjcO9J5jyrMub1dg)!