⌦abliteratedmodels.org

Qwen3.8-Flash-Next-abliterated

Qwen3.8-Flash-Next-abliterated is a refusal-ablated variant of Qwen/Qwen3.8-Flash-Next, published on Hugging Face by huihui-ai. It is other licence. It is distributed across 29 repositories in GGUF, Transformers, NVFP4 and MLX formats, totalling 446.9K downloads.

Abliteration (directional ablation)Qwen↓ 446,935♥ 200

Specification

Model name
Qwen3.8-Flash-Next-abliterated
Publisher
huihui-ai
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
other
Task
Image text to text
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, Transformers, NVFP4, MLX, EXL3, GGUF (imatrix), AWQ
First indexed
26 Aug 2026
Last updated
3 Nov 2026

Ablation technique

How Qwen3.8-Flash-Next-abliterated was modified, and what that implies.

Abliteration (directional ablation)

The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.

Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.

From the publisher’s model card

“This is an uncensored version of Qwen/Qwen3.8-Flash-Next created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.”

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUF --local-dir ./qwen3.8-flash-next-abliterated
llama-cli -m ./qwen3.8-flash-next-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated --trust-remote-code

Downloads and variants (28)

Every published repository of Qwen3.8-Flash-Next-abliterated, including quantised re-releases by other authors.

RepositoryFormatDownloads
huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF339.9K
mradermacher/Huihui-Qwen3.8-Flash-Next-abliterated-i1-GGUFGGUF (imatrix)23.3K
wy2pay/Qwen3.8-Flash-Next-abliterated-GGUF-IQ4XSGGUF22.2K
mradermacher/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF17.5K
windowsxp811203/Qwen3.8-Flash-Next-Abliterated-GGUFGGUF9.8K
apetersson/Qwen3.8-Flash-Next-AbliteratedGGUF7.7K
GCSA-AiLab/Qwen3.8-Flash-Next-FP8-Abliterated-GGUFGGUF6.5K
htdohk/Huihui-Qwen3.8-Flash-Next-abliterated-MTP-GGUFGGUF4.9K
dealignai/Qwen3.8-Flash-Next-ABLITERATED-NVFP4NVFP44.4K
huihui-ai/Huihui-Qwen3.8-Flash-Next-abliteratedsourceTransformers1.8K
lflare/Qwen3.8-Flash-Next-NVFP4-AbliteratedNVFP41.4K
SUNNYROAM/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF1.1K
robertbschuette/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF1.1K
grant-ai/Qwen3.8-Flash-Next-Abliterated-MLX-4bitMLX1K
windowsxp811203/Qwen3.8-Flash-Next-AbliteratedTransformers900
takanori-ishikawa/Qwen3.8-Flash-Next-Abliterated-UD-IQ3_XXS-GGUFGGUF644
dealignai/Qwen3.8-Flash-Next-ABLITERATED-FP8MLX408
ghost-actual/Qwen3.8-Flash-Next-Abliterated-EXL3-2.50bpwEXL3389
Chompa1422/Qwen3.8-Flash-Next-NVFP4-AbliteratedNVFP4374
windowsxp811203/Qwen3.8-Flash-Next-Abliterated-NVFP4NVFP4318
LunarMoonar/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF271
Alexsi98/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF267
AeonAIRisk/Qwen3.8-Flash-Next-AbliteratedTransformers253
ZHUOZA/Qwen3.8-Flash-Next-abliterated-Q6_K_S-MTPGGUF241
calclout/Qwen3.8-Flash-Next-Abliterated-AWQ-W4A16AWQ222
Zalypamoy91/Huihui-Qwen3.8-Flash-Next-abliterated-GGUFGGUF60
VinceTrune/Qwen3.8-Flash-Next-Abliterated-EXL3-2.05bpwEXL321
GCSA-AiLab/Qwen3.8-Flash-Next-FP8-Abliterated-MLXMLX0

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Qwen3.8-Flash-Next-abliterated will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • Declared licence is other, but the terms that bind you are Qwen/Qwen3.8-Flash-Next’s — a re-release cannot grant more than its parent.

Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.

Metadata for Qwen3.8-Flash-Next-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with huihui-ai, and does not independently verify publisher claims. See responsible use.