---
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
base_model:
- arcee-ai/Virtuoso-Small
- CultriX/SeQwence-14B-EvolMerge
- CultriX/Qwen2.5-14B-Wernicke
- huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
- sometimesanotion/lamarck-14b-prose-model_stock
- sometimesanotion/lamarck-14b-if-model_stock
- sometimesanotion/lamarck-14b-reason-model_stock
language:
- en
---
![Lamarck.webp](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3-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.

### Merge Strategy:  
- Two model_stocks used to begin specialized branches for reasoning and prose quality.
- For refinement on Virtuoso as a base model, DELLA and SLERP include the model_stocks while re-emphasizing selected ancestors.
- For integration, a SLERP merge of Virtuoso with the converged 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

![graph.png](https://huggingface.co/sometimesanotion/Lamarck-14B-v0.3-experimental/resolve/main/graph.png)