Update README.md

README.md

@@ -23,7 +23,7 @@ As part of this process, I tried to figure out if there was a way to determine a
 Way too late in the process, did I learn that [dare_ties](https://arxiv.org/abs/2311.03099) has a random element to it, but considered it valuable information for next time. After concluding that project, I began collecting more data, this time setting a specified seed in mergekit for reproducibility.
 This model is *not* a result of the above work but is the genesis of how this model came to be.
 
-I present, Starling_Monarch_Westlake_Garten-7B-v0.1, the only 7B model to score > 80 on the EQ-Bench v2.1 benchmark found [here](https://github.com/EQ-bench/EQ-Bench), outscoring larger models like [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) and [cognitivecomputations/dolphin-2.2-70b](https://huggingface.co/cognitivecomputations/dolphin-2.2-70b)
+I present, **Starling_Monarch_Westlake_Garten-7B-v0.1**, the only 7B model to score > 80 on the EQ-Bench v2.1 benchmark found [here](https://github.com/EQ-bench/EQ-Bench), outscoring larger models like [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) and [cognitivecomputations/dolphin-2.2-70b](https://huggingface.co/cognitivecomputations/dolphin-2.2-70b)
 
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).