Update README.md

README.md

@@ -70,7 +70,9 @@ print(tokenizer.decode(pred.cpu()[0], skip_special_tokens=True))
 
 ## Other Information
 Paper reference: [Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks](https://arxiv.org/abs/2401.02731)
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 [Original Paper repo](https://github.com/wuhy68/Parameter-Efficient-MoE)
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 [Forked repo with mistral support (sparsetral)](https://github.com/serp-ai/Parameter-Efficient-MoE)
 
 If you are interested in faster inferencing, check out our [fork of vLLM](https://github.com/serp-ai/vllm) that adds sparsetral support