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ReadyArt / Model details

Omega-Arsenal-12B

ReadyArt/Omega-Arsenal-12B

fine-tuned
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About this model

ReadyArt's Omega-Arsenal-12B is a safetensors derivative of google/gemma-4-12B-it, released under the apache-2.0 license. According to the model card, it was trained with QLoRA rather than LoRA on datasets including Wicked Tutu, Dark Scarlett, For Her Darkside, and Melody1437, with a dark roleplay focus. The creator describes it as a specialized instrument for high-intensity roleplay and a smut tune rather than a general-purpose decensored model, claiming unfiltered explicit prose, complex power dynamics, dark psychological themes, high-fidelity kink accuracy, clean output without markdown or asterisks, group chat support, and unaligned or uncensored roleplay. The card recommends using chat completion with a detailed system prompt and includes a legal agreement requiring users to be 18+ and limiting use to personal, non-commercial purposes. These capability claims have not been independently tested here.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
google/gemma-4-12B-it
Parameters
11.9597B
Main repository formats
safetensors
License tag
apache-2.0
Languages
en
Last updated
2026-10-25 · 10:18:39.000 UTC

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • fine-tunedsource tag: base_model:finetune:google/gemma-4-12B-it

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Gemma: Base model: google/gemma-4-12B-it

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Link to this listing

Made or quantized this model? Paste one of these into your model card or README so people can find this listing.

Markdown

[Listed on Custom Clankers](https://customclankers.com/models/readyart-omega-arsenal-12b/)

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<a href="https://customclankers.com/models/readyart-omega-arsenal-12b/">Listed on Custom Clankers</a>

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Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Tools to customize it further

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Fine-tune it on your own data

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Make a smaller download (quantize)

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Merge it with another model

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Learn the techniques

  • LLM Course ↗ ★ 84,684

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

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Source provenance

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Metadata checked
2026-10-26 · 04:15:31 UTC
First seen in index
2026-10-26 · 04:15:31 UTC
Source revision
06f5b38824a74b8f4a794f0ba067a93911d7b37b

Source-card excerpt

Source model card excerpt: Omega Arsenal 12B 📢 Training Config Changes This was trained on qlora instead of lora. I am trying to make these tunes more VRAM

From ReadyArt/Omega-Arsenal-12B. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

Collection rules & limitations ↗