Update README.md

README.md

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 ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6/resolve/main/Lamarck.webp)
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-**Update:**  Lamarck has, for the moment, taken the [#1 average score](https://shorturl.at/STz7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) for general text-generation assistant language models underneath 14 billion.  Including 32 billion parameter models, as of this writing, it's currently #7.  This validates the complex merge techniques which combined the complementary strengths of other work in this community into one model.  A little layer analysis goes a long way.
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 Lamarck 14B v0.6:  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.  Here you can see a comparison between Lamarck and other top-performing merges and finetunes:
 
+**Update:**  Lamarck has, for the moment, taken the [#1 average score](https://shorturl.at/STz7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) for general text-generation assistant language models underneath 14 billion.  Including 32 billion parameter models, as of this writing, it's currently #10.  This validates the complex merge techniques which combined the complementary strengths of other work in this community into one model.  A little layer analysis goes a long way.
+
 ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6/resolve/main/comparison.png)
 
 A notable contribution to the middle to upper layers of Lamarck v0.6 comes from [Krystalan/DRT-o1-14B](https://huggingface.co/Krystalan/DRT-o1-14B).  It has a fascinating research paper: [DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought](https://huggingface.co/papers/2412.17498).