SCOTOMA: Abliterated Gemma 4 31B Model Aims for Directness Without Losing Intelligence
SCOTOMA is a modified version of Google's Gemma 4 31B Instruct model, created by ReadyArt and released on Hugging Face in GGUF format under an Apache 2.0 license. Unlike standard abliteration methods that broadly remove refusal behavior and degrade model intelligence, SCOTOMA uses a targeted J-space abliteration technique with Jacobian-lens projection to isolate and remove only the behavioral component of refusal — roughly 22% of the edit magnitude — while preserving the computational component that supports reasoning. The result is a model described as 'loosened, not lobotomized,' producing more direct and varied responses with reduced hedging language, while still declining clearly inappropriate requests. The model is available in multiple quantization sizes ranging from 13.1 GB to 32.6 GB, making it compatible with a range of consumer hardware. Its creators stress that SCOTOMA is a research artifact rather than a finished product, and that users bear responsibility for how they deploy it.
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