update docs

Author: Vincent Chen

TUTORIAL.md

@@ -194,7 +194,7 @@ We address two possible versions of “finetuning” here. For both, you’ll wa
 `scripts/train/` already includes some resources for supervised finetuning. If that’s what you’re interested in check out
 
 1. [**LLM Finetuning from a Local Dataset: A Concrete Example**](https://github.com/mosaicml/llm-foundry/blob/main/scripts/train/finetune_example/README.md)
-2. [The YAML which should replicate the process of creating MPT-7B-Instruct from MPT-7b](https://github.com/mosaicml/llm-foundry/blob/main/scripts/train/yamls/finetune/mpt-7b_dolly_sft.yaml) — You can point this at your own dataset by [following these instructions](https://github.com/mosaicml/llm-foundry/blob/main/scripts/train/README.md#Usage)
+2. [The YAML which would replicate the process of creating Llama-3-8b-Instruct from Llama-3-8b](https://github.com/mosaicml/llm-foundry/blob/main/scripts/train/yamls/finetune/llama-3-8b_dolly_sft.yaml) — You can point this at your own dataset by [following these instructions](https://github.com/mosaicml/llm-foundry/blob/main/scripts/train/README.md#Usage)
 
 ### Domain Adaptation and Sequence Length Adaptation