Update README.md

README.md

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----
-license: apache-2.0
----
+---
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+base_model:
+- sometimesanotion/Lamarck-14B-v0.1-experimental
+- arcee-ai/Virtuoso-Small
+- CultriX/SeQwence-14Bv1
+- CultriX/SeQwence-14B-EvolMergev1
+- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
+language:
+- en
+---
+![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.2-experimental/resolve/main/Lamarck.webp)
+---
+
+Lamarck-14B version 0.3 is strongly based on [arcee-ai/Virtuoso-Small](https://huggingface.co/arcee-ai/Virtuoso-Small) as a diffuse influence for prose and reasoning.  Arcee's pioneering use of distillation and innovative merge techniques create a diverse knowledge pool for its models.
+
+The overall strategy:  
+For inclusion, three model_stocks specialized on reasoning, instruction following, and prose quality.
+For refinement on Virtuoso as a base model, DELLA and SLERP merges of the model_stock merges and additional re-emphasis of particularly interesting ancestors.
+For integration, a SLERP merge of instruction-following and reason+prose branches.
+For finalization and a little bit of abliteration, TIES with a light touch from [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](http://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2).
+
+### Ancestor Models
+
+**Top influences:** These ancestors are base models and present in the model_stocks, but are heavily re-emphasized in the DELLA and SLERP merges.
+
+- **[arcee-ai/Virtuoso-Small](https://huggingface.co/arcee-ai/Virtuoso-Small)** - A brand new model from Arcee, refined from the notable cross-architecture Llama-to-Qwen distillation [arcee-ai/SuperNova-Medius](https://huggingface.co/arcee-ai/SuperNova-Medius).  The first two layers are nearly exclusively from Virtuoso.  It has proven to be a well-rounded performer, and contributes a noticeable boost to the model's prose quality.
+
+- **[CultriX/SeQwence-14B-EvolMerge](http://huggingface.co/CultriX/SeQwence-14B-EvolMerge)** - A well-rounded model, with interesting gains for instruction following while remaining strong for reasoning.
+
+- **[CultriX/Qwen2.5-14B-Wernicke](http://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)** - A top performer for Arc and GPQA, Wernicke is re-emphasized in small but highly-ranked portions of the model.
+
+- **[huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](http://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)** - Merged with higher weight and density , both for re-instructing and abliterating effect
+
+The model stocks have a diffuse influence, and they include:
+
+**Instruction**:
+- ** [arcee-ai/Virtuoso-Small](http://huggingface.co/arcee-ai/Virtuoso-Small)**
+- ** [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](http://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2)**
+- ** [sthenno-com/miscii-14b-1028](http://huggingface.co/sthenno-com/miscii-14b-1028)**
+- ** [tanliboy/lambda-qwen2.5-14b-dpo-test](http://huggingface.co/tanliboy/lambda-qwen2.5-14b-dpo-test)**
+
+**Reason**:
+
+- ** [arcee-ai/Virtuoso-Small](http://huggingface.co/arcee-ai/Virtuoso-Small)**
+- ** [CultriX/Qwen2.5-14B-Wernicke](http://huggingface.co/CultriX/Qwen2.5-14B-Wernicke)**
+- ** [CultriX/SeQwence-14B-EvolMerge](http://huggingface.co/CultriX/SeQwence-14B-EvolMerge)**
+- ** [VAGOsolutions/SauerkrautLM-v2-14b-DPO](http://huggingface.co/VAGOsolutions/SauerkrautLM-v2-14b-DPO)**
+
+**Prose**:
+
+- ** [allura-org/TQ2.5-14B-Sugarquill-v1](http://huggingface.co/allura-org/TQ2.5-14B-Sugarquill-v1)**
+- ** [arcee-ai/Virtuoso-Small](http://huggingface.co/arcee-ai/Virtuoso-Small)**
+- ** [EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2](http://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2)**
+- ** [oxyapi/oxy-1-small](http://huggingface.co/oxyapi/oxy-1-small)**
+- ** [sthenno-com/miscii-14b-1028](http://huggingface.co/sthenno-com/miscii-14b-1028)**
+- ** [underwoods/medius-erebus-magnum-14b](http://huggingface.co/underwoods/medius-erebus-magnum-14b)**