Update README.md

README.md

@@ -10,18 +10,19 @@ pipeline_tag: text-generation
 base_model: meta-llama/Llama-2-70b-hf
 ---
 
+# Llama-2-70B-Instruct-v0.1
+
+*Note*: This model was ranked **6th** on 🤗's Open LLM Leaderboard in Aug 2023
+
 <div align="left">
 
 <img src="./assets/llama.png" width="125px">
 
 </div>
 
+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.
 
-# Llama-2-70B-Instruct-v0.1
-
-*Note*: This model was ranked **6th** on 🤗's Open LLM Leaderboard in Aug 2023
 
-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.
 
 ## Benchmark metrics