Update README.md

README.md

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 # Llama-2-70B-Instruct-v0.1
 
-*Note*: This model was ranked **6th** on 🤗's Open LLM Leaderboard in Aug 2023
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 This instruction model was built via parameter-efficient QLoRA finetuning of [llama-2-70b](https://huggingface.co/meta-llama/Llama-2-70b-hf) on the first 25k rows of [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin) (an open-source implementation of [Microsoft's Orca](https://www.microsoft.com/en-us/research/publication/orca-progressive-learning-from-complex-explanation-traces-of-gpt-4/)). Finetuning was executed on a single H100 (80 GB PCIe) for roughly 17 hours on the [Lambda Labs](https://cloud.lambdalabs.com/instances) platform.
 
+*Note*: This model was ranked **6th** on 🤗's Open LLM Leaderboard in Aug 2023
 
 ## Helpful links
 
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 * Loss curves: [plot](https://huggingface.co/dfurman/Llama-2-70B-Instruct-v0.1-peft#finetuning-description)
 * Runtime stats: [table](https://huggingface.co/dfurman/Llama-2-70B-Instruct-v0.1-peft#runtime-tests)
 
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 ## Open LLM Leaderboard Evaluation Results
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_dfurman__llama-2-70b-dolphin-peft)