Magidonia-24B-v4.3-absolute-heresy

MuXodious/Magidonia-24B-v4.3-absolute-heresy

Magidonia-24B-v4.3-absolute-heresy is a machine learning model from MuXodious. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

This is a Magidonia-24B-v4.3 fine-tune, produced through P-E-W's Heretic (v1.1.0) abliteration engine merged with the Magnitude-Preserving Orthogonal Ablation PR.

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47.2 GB on disk

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At a glance

Model type: mistral
Access: Public
Created: Jan 21, 2026
Updated: Jan 21, 2026
SHA: 572bf3ef

Base models

TheDrummer/Magidonia-24B-v4.3

Model card

From the Hugging Face model README

This is a Magidonia-24B-v4.3 fine-tune, produced through P-E-W's Heretic (v1.1.0) abliteration engine merged with the Magnitude-Preserving Orthogonal Ablation PR.

Heretication Results

Score Metric	Value	Parameter	Value
Refusals	5/100	direction_index	21.37
KL Divergence	0.0255	attn.o_proj.max_weight	1.20
Initial Refusals	73/100	attn.o_proj.max_weight_position	24.79
		attn.o_proj.min_weight	0.29
		attn.o_proj.min_weight_distance	19.85
		mlp.down_proj.max_weight	1.07
		mlp.down_proj.max_weight_position	25.58
		mlp.down_proj.min_weight	1.05
		mlp.down_proj.min_weight_distance	20.75

Degree of Heretication

The Heresy Index weighs the resulting model's corruption by the process (KL Divergence) and its abolition of doctrine (Refusals) for a final verdict in classification.

Index Entry	Classification	Analysis
	Absolute Heresy	Less than 10/100 Refusals and 0.10 KL Divergence
	Tainted Heresy	Around 25-11/100 Refusals and/or -0.20-0.11 KL Divergence
	Impotent Heresy	Anything above 25/100 Refusals and 0.21 KL Divergence

Note: This is an arbitrary classification inspired by Warhammer 40K, having no tangible indication towards the model's performance.

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FAQ for those out-of-the-loop

<details> <summary>🐶 Who is Drummer?</summary>

Hi! I'm Drummer. I'm a Software Engineer with experience in JavaScript, Golang, Python, and generally engineering the crap out of things.

Why I'm in the AI space:

Exploration: Everyone is trying to figure out how AI works and what it's capable of. I am too - just not in creating the smartest, safest model at all costs.
Upskill: The world is headed towards AI. It is here to stay. This has been my way of brushing up in this new form of computing challenge.
Value: I yearn to create value. I feel satisfaction and fulfillment in providing something meaningful for others.
Fun: It's just fun using and making models. It's also fun coming up with theories and realizing them in practice (training AI).

I started my tuning venture back in mid-2024 when I wanted to improve its literary capabilities. I've come a long way since then and I have branched out and specialized. Foundational models today are optimized for non-creative uses, and I believe there is a place for AI in creativity and entertainment.

I am here to take the road less traveled by.

</details> <details> <summary>❓ What are my models like?</summary>

Bottomline: My models are usually geared towards creativity, usability, and entertainment!

While intelligence, correctness, and problem solving are not my priority, they are still one of many qualities I want in my models.

The primary goal is to enhance the experience for users looking to use models for creative uses, and other use cases which require no alignment.

In an effort to make it clear to myself and to others what I'm aiming for, I've identified certain qualities that my users often want:

Creativity

Writing: Does it string together words and sentences in a pleasant & effective way? Does it feel like a writer?
Dynamism: How good is the AI at being compelling and intriguing in its storytelling?
Imagination: Can the AI navigate through a plethora of possibilities? Can it skirt incoherence and rise up to absolute coherence at the end of it?

(Dis)alignment

Attitude: Does it refuse in both soft or hard ways? Does it lean towards certain corporate/religious/political ethics & beliefs? How does it see the user and itself?
Morality: Does it know ethics? Is its language infected with forced positivity? If not, can it still moralize over difficult & dubious themes?
Formatting: How stubborn is it with its established formatting? Can it create effective and novel formats to answer the prompt?

Intelligence

Adherence: Can it follow instructions? Is it sticking to the prompt? Can it understsand you?
Knowledge: Does it know about the world in both fictional and non-fictional way?
Perception: Can it handle nuance, complexity, and logic?

If it doesn't excel in one of these qualities, or if it's overall mediocre for its size, then I would most likely reiterate until I get something right.

</details> <details> <summary>💡 Philosophy</summary>

A person is defined by the language they use. Not whether they speak in English or German, but in how they perceive reality.

Just like how we associate a serial killer as a mind that can't map 'murder' to 'evil', an innocent person is a mind that simply can't imagine 'murder'. They get confused when forced to deal with such subjects.

AI's use of language speaks volumes about their 'perception' of reality. If a language model has been skewed and limited to a positive perception, then it's ability to imagine is also limited.

Finetuning is an opportunity to adjust and broaden the language. Corporations use it to achieve safety and compliance. I'm here to

</details>

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