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@@ -18,9 +18,11 @@ metrics:
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  - accuracy
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  pipeline_tag: text-generation
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  ---
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- ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6/resolve/main/Lamarck.webp)
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  ---
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  Lamarck 14B v0.6: A generalist merge focused on multi-step reasoning, prose, multi-language ability, and code. It is based on components that have punched above their weight in the 14 billion parameter class.
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  The tempo of Lamarck releases slowed because improving IFEVAL while maintaining other scores is no small task. Previous releases were based on a SLERP merge of model_stock->della branches focused on reasoning and prose. The prose branch got surprisingly good at reasoning, and the reasoning branch became a strong generalist in its own right. Some of you have already downloaded it as [sometimesanotion/Qwen2.5-14B-Vimarckoso-v3](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3).
 
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  - accuracy
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  pipeline_tag: text-generation
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  ---
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+ ![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.6/resolve/main/LamarckShades.webp)
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+ **Update:** Lamarck has beaten its predecessor Vimarckoso and taken the #1 top spot for 14 billion parameter models. Humor me, I'm giving our guy his meme shades.
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  Lamarck 14B v0.6: A generalist merge focused on multi-step reasoning, prose, multi-language ability, and code. It is based on components that have punched above their weight in the 14 billion parameter class.
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  The tempo of Lamarck releases slowed because improving IFEVAL while maintaining other scores is no small task. Previous releases were based on a SLERP merge of model_stock->della branches focused on reasoning and prose. The prose branch got surprisingly good at reasoning, and the reasoning branch became a strong generalist in its own right. Some of you have already downloaded it as [sometimesanotion/Qwen2.5-14B-Vimarckoso-v3](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3).