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Duckets/Arete-27B-Uncensored-Splash

Duckets 27B multimodal second-order
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Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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created 2026-11-08

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Metadata

License
apache-2.0
Tags
splash lm-studio qwen3.8 vision speculative-decoding uncensored abliterated base_model:NousResearch/Arete-27B base_model:finetune:NousResearch/Arete-27B license:apache-2.0 region:us
Total size
0 B
Files
3
Quantizations
1
Registered
2026-11-08 02:02
Last updated on HF
2026-11-08 01:14

Files by quantization

Auxiliary files 3 files 16.3 KB
manifest.json 12.1 KB bd534a65 download
README.md 2.63 KB 627b90e0 download
.gitattributes 1.54 KB f1ca65ce download

README current version from Hugging Face


license: apache-2.0
library_name: splash
base_model:

  • SargeDev/Arete-27B-Uncensored
  • NousResearch/Arete-27B
  • incoai/Qwen3.8-27B-DFlash2
    tags:
  • splash
  • lm-studio
  • qwen3.8
  • vision
  • speculative-decoding
  • uncensored
  • abliterated

Arete-27B-Uncensored — Splash package

A splash-packed-q4 package of SargeDev's Arete-27B-Uncensored — the abliterated variant of Nous Research's Arete-27B — for the Splash engine (LM Studio's Splash runtime, or the standalone splash serve).

Credits

  • SargeDev — creator of Arete-27B-Uncensored: the abliteration of Arete-27B (aggressive SVD refusal-direction removal) that this package is converted from. The model weights here are his work.
  • Nous Research — creators of Arete-27B, the value-alignment SFT of Qwen3.8-27B that SargeDev abliterated.
  • Inco AI — the Splash engine and the official Qwen3.8-27B package, whose DFlash2 draft and vision tower are reused here byte-for-byte.
  • publicExcess — the open-source converter that built the target weights.

Conversion

  • Source: SargeDev/Arete-27B-Uncensored BF16 checkpoint, revision 47a9768a60861e5ba8aff363a1c205aaabb1a64d.
  • The source repo is a text-only export (Qwen3_5ForCausalLM layout). Before conversion, its language-model tensors were renamed back to the family's multimodal layout (model.language_model.*) — a pure rename, no values changed — and fitted with the base Arete config. Its 15 MTP (multi-token prediction) head tensors are not carried: the Splash package format has no MTP component, and speculative decoding is provided by the DFlash2 draft instead.
  • Target converted from the BF16 source with the splash-converter (4-bit packed). The draft (DFlash2) and vision components are byte-copies of the family's official package, incoai/Qwen3.8-27B-Splash, as the draft is family-specific and the vision tower is config-identical across the fine-tunes.
  • Package verified by the converter: 78 artifacts, 73 weight files, 17,382,657,779 bytes (~17.38 GB).

Usage

  • LM Studio: download into your LM Studio models folder; it is cataloged as a Splash model (arete-27b-uncensored-splash) and loads with the Splash runtime.
  • Standalone: splash serve loads raw checkpoints directly — point it at SargeDev/Arete-27B-Uncensored; this package format is for the LM Studio runtime.

License

Apache-2.0, following the source model.

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