Update README.md

README.md

@@ -23,7 +23,7 @@ pipeline_tag: text-generation
 Lamarck 14B v0.7:  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.  It uses a custom toolchain to create and apply multiple sequences of complex merges:
 
 - **Extracted LoRA adapters from special-purpose merges**
-- **Custom base models and model_stocks of original models with LoRAs from from [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2) to minimize IFEVAL loss from model_stocks**
+- **Custom base models and model_stocks of original models with LoRAs from from [huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2](https://huggingface.co/huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2) to minimize IFEVAL loss often seen in model_stock merges**
 - **Separate branches for aggressive breadcrumbs and conservative DELLA merges**
 - **Highly targeted weight/density gradients for every 2-4 layers**
 - **Finalization through SLERP merges recombining the separate branches as is most stable**