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WaveCut/Huihui-Qwen3.8-27B-abliterated-NInfer-v3

WaveCut 27B multimodal second-order
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
1K
Likes
8
Model age
6w ago
created 2026-09-21
Downloads over time
Now30K→from0↑0%
011K22K33K0 on Sep 2230K on Nov 6SepOctNov
Sep 22 → Nov 6 · 46 snapshots · spans 45 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
apache-2.0
Tags
ninfer qwen3.8 abliterated uncensored rtx-3090 rtx-4090 rtx-5090 rtx-pro-6000 image-text-to-text base_model:huihui-ai/Huihui-Qwen3.8-27B-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3.8-27B-abliterated license:apache-2.0

Related

Total size
0 B
Files
5
Quantizations
1
Registered
2026-09-22 00:56
Last updated on HF
2026-10-06 11:57

Files by quantization

Auxiliary files 5 files 19.0 GB
Huihui-Qwen3.8-27B-abliterated-ninfer-v3.ninfer 19.0 GB 8f6bb9af download
Huihui-Qwen3.8-27B-abliterated-ninfer-v3.ninfer.conversion.json 517 KB d74083b6 download
README.md 2.87 KB eab83418 download
.gitattributes 1.57 KB 98a57633 download
SHA256SUMS 244 B f6c49a16 download

README current version from Hugging Face


license: apache-2.0
base_model:

  • huihui-ai/Huihui-Qwen3.8-27B-abliterated
    base_model_relation: quantized
    tags:
  • ninfer
  • qwen3.8
  • abliterated
  • uncensored
  • rtx-3090
  • image-text-to-text

Huihui-Qwen3.8-27B-abliterated, NInfer v3 artifact

A NInfer v3 artifact of
huihui-ai/Huihui-Qwen3.8-27B-abliterated,
the abliterated Qwen3.8-27B with the lowest reported divergence from the base checkpoint among the
widely used releases (the first fifteen layers are untouched; independent KL divergence
measurements sit around 0.008) and a working MTP head.

Built for the RTX 3090 line of NInfer
(iamwavecut/ninfer-3090, branch franken/v0.11,
which is ashalliants' v0.11.0 plus that fork's production fixes).

What is inside

component representation
text layers (64) official qwen3_8_27b recipe: Q4/Q5 grouped projections, Q8 vocabulary embedding and output head
vision tower as the recipe assigns it (the checkpoint's own model.visual.* weights)
MTP head the checkpoint's own mtp.* weights, Q8
DFlash2 adapter z-lab/Qwen3.8-27B-DFlash2, trained on the vanilla model; applied unchanged (the target verifies every draft, so it only affects acceptance)
proposal head the indexed 131,072-row draft head for --lm-head-draft
chat template NInfer's pinned qwen3_8.jinja

Conversion command (from the fork's tree, CUDA device):

python3 -m tools.convert \
  --model Huihui-Qwen3.8-27B-abliterated \
  --recipe qwen3_8_27b \
  --source dflash2=Qwen3.8-27B-DFlash2 \
  --components text,vision,mtp,dflash2 \
  --resource chat_template.jinja=tools/chat_templates/qwen3_8.jinja \
  --proposal \
  --name qwen3.8-27b-abliterated \
  --out Huihui-Qwen3.8-27B-abliterated-ninfer-v3.ninfer

SHA256SUMS lists the checksum of every file.

Running

Any NInfer build that reads v3 artifacts (v0.11.0 or later). A single RTX 3090 serves the full
198,400-token window with vision and MTP:

ninfer-serve Huihui-Qwen3.8-27B-abliterated-ninfer-v3.ninfer --model-id qwen3.8-27b \
  --max-context 198400 --kv-capacity 198400 --kv-dtype rk8v4 --gdn-state-fp16 \
  --spec mtp --draft-tokens 3 --lm-head-draft \
  --vision --vision-residency overlay --vision-max-merged 12288

--spec dflash2 --draft-tokens 7 selects the DFlash2 backend instead of MTP.

Caveats

This is an abliterated model: refusals are removed at the checkpoint level, and the usual
hesitation before destructive actions goes with them. Put the guardrails in the tool layer, not in
the model. rk8v4 is a lossy KV format (about +0.08 % perplexity against bf16 on the vanilla
checkpoint) chosen for the context window; --kv-dtype int8 or bf16 trade window for fidelity.

README history 7 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-10-06Card: run with the NInfer-all Docker image or a build; RTX PRO 6000493a6487.6 KB
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  2. 2026-09-26Card: the CRACK reference repository is now -NInfer-v3b3c15156.4 KB
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  3. 2026-09-26Card: the repository is now iamwavecut/ninfer-alla3eb8196.4 KB
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  4. 2026-09-25Card: current master, the RTX 4090 and 5090, and the September 2026 Qwen3.8 r...3af18786.4 KB
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  5. 2026-09-25Point the card at the consolidated master of iamwavecut/ninfer-3090f056b7a4.7 KB
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  6. 2026-09-22Model card: RTX 3090 speed, quality and perplexity against the CRACK reference0348ff64.7 KB
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  7. 2026-09-22Upload folder using huggingface_hubc0c9a4b2.9 KB
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Discussions 1 thread

  1. 2026-09-22ninfer-3090 no v3 yet?open1 💬#1
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