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ReadyArt / Model details

Omega-Arsenal-26B-A4B-Final-GGUF

ReadyArt/Omega-Arsenal-26B-A4B-Final-GGUF

fine-tuned
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About this model

ReadyArt's Omega-Arsenal-26B-A4B-Final-GGUF is a GGUF release derived from google/gemma-4-26B-A4B-it. The model card describes it as a specialized 'smut tune' for high-intensity roleplay rather than a general-purpose decensored model, trained on datasets including Wicked Tutu, Dark Scarlett, For Her Darkside, and Melody1437. The creator says it is intended for unfiltered explicit prose, complex power dynamics, dark psychological themes, and high-fidelity kink accuracy, and that it is unaligned and uncensored for roleplay. The card lists sampler presets of temperature 1.0 and top-p 0.92 and recommends chat completion over text completion. The repository is tagged for adult content, erotic, horror, violence, and not-for-all-audiences material. License: apache-2.0.

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-4-26B-A4B-it
Parameters
Unknown
Main repository formats
GGUF
License tag
apache-2.0
Languages
en
Last updated
2026-10-23 · 08:56:41.000 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-4-26B-A4B-it

Family evidence

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

  • Gemma: Base model: google/gemma-4-26B-A4B-it

Available versions

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Link to this listing

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Markdown

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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.

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Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,313

    Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

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

Downloads
3,231
Likes
3
Metadata checked
2026-10-26 · 04:15:31 UTC
First seen in index
2026-10-26 · 04:15:31 UTC
Source revision
15337f996a9a5b729da068fcd50f2b2f3677f04d

Source-card excerpt

Source model card excerpt: Omega Arsenal 26B A4B ✨ Model Specifications 📚 Dataset Wicked Tutu & Dark Scarlett & For Her Darkside & Melody1437 🖤 Focus Dark 🔄

From ReadyArt/Omega-Arsenal-26B-A4B-Final-GGUF. 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.

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