Update README.md

README.md

@@ -126,7 +126,7 @@ Llama3-8B-SuperNova-Spectrum-dare_ties is a `dare_ties` merge of the following m
 * **Redundancy Removal**: Identifies and eliminates overlapping or unnecessary information between models, making the final model more efficient.
 * **Conflict Resolution**: Reconciles differences between models by creating a unified sign vector that represents the most dominant direction of change across all models.
 
-**TRIES** stands for **T**R**I**M, **E**LECT **S**IGN & MERGE (TIES-MERGING). 
+**TIES** stands for **T**R**I**M, **E**LECT **S**IGN & MERGE (TIES-MERGING). 
 
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@@ -276,6 +276,7 @@ Average: 43.91%
 ## Special thanks & Reference
 - Maxime Labonne for their easy-to-use colab-notebook [Merging LLMs with MergeKit](https://github.com/mlabonne/llm-course/blob/main/Mergekit.ipynb), [Blog](https://towardsdatascience.com/merge-large-language-models-with-mergekit-2118fb392b54) and [LLM-AutoEva Notebookl](https://github.com/mlabonne/llm-autoeval)
 - Authors of [Mergekit](https://github.com/arcee-ai/mergekit)
+
 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
 Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_yuvraj17__Llama3-8B-SuperNova-Spectrum-dare_ties)