Update README.md

README.md

@@ -35,7 +35,7 @@ This model was made in two branches:  a della_linear merge, and a sequence of mo
 
 **Top influences:** The model_stock, breadcrumbs, and della_linear all use the following models:
 
-- **[sometimesanotion/Qwen2.5-14B-Vimarckoso-v3](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3)** - As of this writing, Vimarckoso v3 has the #1 average score on [open-llm-leaderboard/open_llm_leaderboard](https://shorturl.at/m225j) for any model under 32 billion parameters.  This appears to be because of synergy between its component odels.
+- **[sometimesanotion/Qwen2.5-14B-Vimarckoso-v3](https://huggingface.co/sometimesanotion/Qwen2.5-14B-Vimarckoso-v3)** - As of this writing, Vimarckoso v3 has the #1 average score on [open-llm-leaderboard/open_llm_leaderboard](https://shorturl.at/m225j) for any model under 32 billion parameters.  This appears to be because of synergy between its component models.
 - **[sometimesanotion/Lamarck-14B-v0.3](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3)** - With heavy influence from [VAGOsolutions/SauerkrautLM-v2-14b-DPO](https://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO), this is a leader in technical answers.
 - **[sometimesanotion/Qwenvergence-14B-v3-Prose](https://huggingface.co/sometimesanotion/Qwenvergence-14B-v3-Prose)** - a model_stock merge of multiple prose-oriented models which posts surprisingly high MATH, GPQA, and MUSR scores, with contributions from [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](https://huggingface.co/EVA-UNIT1/EVA-Qwen2.5-14B-v0.2) and [sthenno-com/miscii-14b-1028](https://huggingface.co/sthenno-com/miscii-14b-1028) apparent.
 - **[Krystalan/DRT-o1-14B](https://huggingface.co/Krystalan/DRT-o1-14B)** - A particularly interesting model which applies extra reasoning to language translation.  Check out their fascinating research paper at [arxiv.org/abs/2412.17498](https://arxiv.org/abs/2412.17498).