Update README.md

README.md

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 ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.7/resolve/main/LamarckShades.webp)
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-> [!TIP] This version of the model has [broken the 41.0 average](https://shorturl.at/SR2qp) maximum for 14B parameter models, and as of this writing, ranks #7 among models under 70B parameters.  Given the respectable performance in the 32B range, I think Lamarck deserves his shades.  A little layer analysis in the 14B range goes a long, long way.
+> [!TIP] This version of the model has [broken the 41.0 average](https://shorturl.at/jUqEk) maximum for 14B parameter models, and as of this writing, ranks #8 among models under 70B parameters on the Open LLM Leaderboard.  Given the respectable performance in the 32B range, I think Lamarck deserves his shades.  A little layer analysis in the 14B range goes a long, long way.
 
 Lamarck 14B v0.7:  A generalist merge focused on multi-step reasoning, prose, and multi-language ability.  It is based on components that have punched above their weight in the 14 billion parameter class.  It uses a custom toolchain to create and apply multiple sequences of complex merges: