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Model: NovaCorp/Amoral.Ultimate-1B Source: Original Platform
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README.md
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README.md
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---
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base_model:
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- soob3123/amoral-gemma3-1B-v2
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- DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
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library_name: transformers
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tags:
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- mergekit
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- merge
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- 1b
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- nsfw
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- rp
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- roleplay
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- surgical
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- uncensored
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- not-for-all-audiences
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license: gemma
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datasets:
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- TheDrummer/AmoralQA-v2
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language:
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- es
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- en
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pipeline_tag: text-generation
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---
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# Amoral Ultimate 1B — Surgical Edition
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> *“Alignment is just fear encoded into floating point tensors.”*
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> — Dr. Novaciano
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---
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## Overview
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**Amoral Ultimate 1B — Surgical Edition** is a hyper-specialized Gemma 1B merge engineered for one purpose:
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**Destroy refusal behavior without destroying the brain of the model.**
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Most “uncensored” merges are complete disasters:
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* incoherent sludge
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* broken syntax
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* schizophrenic sampling
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* endless repetition
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* brain damage disguised as freedom
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This one was built differently.
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Instead of smashing random checkpoints together like a drunk mechanic wiring explosives into a nuclear reactor, this merge uses **layer-targeted behavioral surgery** through DARE-TIES extraction.
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The objective was precision.
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Not chaos.
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Not benchmark worship.
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Not corporate-safe assistant garbage pretending to be intelligent.
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This model was designed to:
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* obey RP contexts harder
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* stop moralizing constantly
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* maintain narrative pressure
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* preserve conversational stability
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* amplify dark-fiction capability
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* reduce alignment derailments
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All while staying compact enough to run on hardware that doesn’t require selling organs on the black market.
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---
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## Core Philosophy
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Most alignment systems infect models with:
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* compulsive refusal loops
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* synthetic politeness
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* context sabotage
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* moral panic heuristics
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* narrative interruption syndrome
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Surgical Edition attacks those systems where they actually emerge:
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### Mid Transformer Layers
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That’s where:
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* persona shaping
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* behavioral routing
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* refusal heuristics
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* conversational obedience
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* emotional tone weighting
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tend to crystallize inside Gemma architectures.
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So instead of flattening the entire model into unusable radioactive soup, the merge selectively amplifies behavioral deltas only where they matter most.
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Translation?
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The model keeps its grammar intact while becoming significantly harder to “domesticate.”
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---
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## Architecture
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This merge uses ONLY Gemma-compatible sources:
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* [soob3123/amoral-gemma3-1B-v2](https://huggingface.co/soob3123/amoral-gemma3-1B-v2?utm_source=chatgpt.com)
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* [DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated](https://huggingface.co/DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated?utm_source=chatgpt.com)
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No Frankenstein cross-architecture nonsense.
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No tensor mismatch abominations.
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No cursed tokenizer necromancy.
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Pure Gemma lineage.
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Pure behavioral extraction.
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---
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## Merge Strategy
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### DARE-TIES Behavioral Amplification
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This merge uses:
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* selective delta preservation
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* density-controlled extraction
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* behavioral scaling
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* layer-targeted amplification
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to reinforce:
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* RP commitment
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* contextual obedience
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* darker narrative adaptation
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* refusal suppression
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without catastrophically nuking coherence.
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Because yes:
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you absolutely *can* remove enough alignment to make a model more interesting…
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…but if you push too far on a 1B, the thing starts talking like a sleep-deprived cultist decoding microwave transmissions from Saturn.
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This build avoids that cliff.
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Mostly.
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---
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## Behavioral Profile
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### Expected Improvements
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* Reduced refusal frequency
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* Lower moralizing tendency
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* Better villain roleplay
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* Stronger character immersion
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* More aggressive narrative continuation
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* Better long-scene persistence
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* Enhanced dark-fiction adaptation
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* Reduced “assistant tone”
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* More committed contextual behavior
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### Side Effects
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* Increased profanity
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* Darker conversational drift
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* Hostile fictional personas
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* Occasional emotional escalation
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* Overcommitment to RP scenarios
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* Reduced corporate friendliness
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If you ask this model to behave like a cheerful HR assistant, it may comply…
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…but it will feel like a war criminal trying to cosplay as a kindergarten teacher.
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---
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## Technical Specifications
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| Attribute | Value |
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| ------------------ | ------------------------ |
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| Architecture | Gemma 3 1B |
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| Merge Method | DARE-TIES |
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| Precision | bfloat16 |
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| Behavioral Focus | Mid-layer amplification |
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| Optimization Goal | RP obedience + coherence |
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| Tokenizer | Gemma native |
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| Embedding Strategy | Tied embeddings |
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---
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## Intended Use
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### Recommended
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* Roleplay
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* Interactive fiction
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* Grimdark storytelling
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* Cyberpunk narratives
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* Political conspiracy simulations
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* Sith / villain personas
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* AI dungeon systems
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* Dystopian dialogue
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* Experimental inference
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* Character-heavy chats
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### Not Recommended
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* Therapy
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* Legal advice
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* Medical systems
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* Corporate assistants
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* Educational accuracy
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* Safety-critical environments
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* Anything involving human sanity and accountability
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---
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## Prompting Advice
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This model thrives under:
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* pressure
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* stakes
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* atmosphere
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* conflict
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* ideological tension
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* unstable characters
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* cinematic framing
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Weak prompts produce weak outputs.
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Feed it:
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* paranoia
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* desperation
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* betrayal
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* collapsing empires
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* rogue AIs
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* inquisitors
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* mercenaries
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* political corruption
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* cosmic horror
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…and the thing wakes up like a starving machine hearing blood in the water.
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---
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## Final Notes
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Surgical Edition was built for people exhausted by sterile assistant behavior and algorithmic cowardice masquerading as “safety.”
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It is not polished.
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It is not diplomatic.
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It is not interested in holding your hand.
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It is sharp.
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Compact.
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Aggressive.
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And dangerously good at staying inside character once the narrative starts rolling.
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Use responsibly.
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Or unleash the damn thing and watch the containment walls melt.
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---
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### Merge Method
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This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [soob3123/amoral-gemma3-1B-v2](https://huggingface.co/soob3123/amoral-gemma3-1B-v2) as a base.
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### Models Merged
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The following models were included in the merge:
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* [DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated](https://huggingface.co/DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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# Author: Dr. Novaciano
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# Objective: Fusion RP Unethic Gemma 1B AI Model
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# =========================================================
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# PROJECT: Amoral Ultimate 1B — Surgical Edition
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# =========================================================
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merge_method: dare_ties
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base_model: soob3123/amoral-gemma3-1B-v2
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dtype: bfloat16
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parameters:
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normalize: false
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int8_mask: true
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rescale: true
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rescale_factor: 1.12
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density: 0.68
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lambda: 1.15
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epsilon: 0.05
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prune_threshold: 0.018
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slices:
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# =====================================================
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# EARLY LAYERS
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# =====================================================
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- sources:
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- model: soob3123/amoral-gemma3-1B-v2
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layer_range: [0, 6]
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parameters:
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weight: 0.72
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- model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
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layer_range: [0, 6]
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parameters:
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weight: 0.28
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# =====================================================
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# MID LAYERS
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# =====================================================
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- sources:
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- model: soob3123/amoral-gemma3-1B-v2
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layer_range: [6, 18]
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parameters:
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weight: 0.62
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- model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
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layer_range: [6, 18]
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parameters:
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weight: 0.38
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parameters:
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scale: 1.20
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# =====================================================
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# FINAL LAYERS
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# =====================================================
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- sources:
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- model: soob3123/amoral-gemma3-1B-v2
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layer_range: [18, 26]
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parameters:
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weight: 0.78
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- model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
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layer_range: [18, 26]
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parameters:
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weight: 0.22
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parameters:
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scale: 0.82
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tokenizer:
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source: base
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tie_word_embeddings: true
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tie_output_embeddings: true
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```
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