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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:
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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 #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.
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  ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6/resolve/main/comparison.png)
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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:
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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 14B text-generation assistant language models - or even under 32 billion parameters. 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.
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  ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6/resolve/main/comparison.png)
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