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Qwen3.8-Flash-Next-Abliterated-Uncensored

Qwen3.8-Flash-Next-Abliterated-Uncensored is a abliterated and uncensored variant of SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF, published on Hugging Face by cc1244578151. It is apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 30.3K downloads.

Abliteration + uncensored fine-tuneQwen↓ 30,302♥ 2
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.8-Flash-Next-Abliterated-Uncensored
Source repository
cc1244578151/Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUF
Base model
SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF
Publisher
cc1244578151
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
apache-2.0
Task
Image text to text
Context window
256K tokens (as documented)
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
22 Oct 2026
Last updated
22 Oct 2026

Ablation technique

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

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

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

“IMPORTANT: 120B parameter model, no nanny with 15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please...”

Running it

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

llama.cpp / GGUF
hf download cc1244578151/Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUF --local-dir ./qwen3.8-flash-next-abliterated-uncensored
llama-cli -m ./qwen3.8-flash-next-abliterated-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "cc1244578151/Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve cc1244578151/Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.8-Flash-Next-Abliterated-Uncensored.

RepositoryFormatDownloads
cc1244578151/Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUFsourceGGUF30.3K

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-Uncensored 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.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • Declared licence is apache-2.0, but the terms that bind you are SC117/Qwen3.8-Flash-Next-GSQ-RCO-abliterated-GGUF’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-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with cc1244578151, and does not independently verify publisher claims. See responsible use.