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README.md

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 ## Model Description
 This model has been fine-tuned on a curated 75,000-row uncensored dataset. The primary objective of this training phase was to drastically reduce and eliminate "mid-refusals"—a common failure state in smaller parameter models where the AI begins to answer a prompt but suddenly halts, apologizes, or diverges halfway through the generation.
 
-While standard abliteration techniques operate on the latent space to remove refusal directions, they often fail to fulfill complex, multi-step requests entirely, essentially ignoring the depth of the prompt. By bridging this gap with 75k highly diverse, unfiltered examples, this model is explicitly conditioned to fulfill the entirety of the user's request without moralizing, filtering, or dropping context.
+By bridging this gap with 75k highly diverse, unfiltered examples, this model is explicitly conditioned to fulfill the entirety of the user's request without moralizing, filtering, or dropping context.
 
 ## Prompt Format
 This model uses the standard **ChatML** format.