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RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored

RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored is a abliterated and uncensored variant of Qwen/Qwen3.8-Flash-Next, published on Hugging Face by 0bserverx. It is other licence. It is distributed across 4 repositories in Transformers, GGUF and NVFP4 formats, totalling 21K downloads.

Abliteration + uncensored fine-tuneQwen↓ 20,986♥ 34
View on Hugging Face ↗Base model ↗

Specification

Model name
RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored
Source repository
0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored
Base model
Qwen/Qwen3.8-Flash-Next
Publisher
0bserverx
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
other
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
Transformers, GGUF, NVFP4
First indexed
31 Aug 2026
Last updated
7 Sept 2026

Ablation technique

How RVN-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

“A heavily abliterated derivative built only from the official Qwen3.8-Flash-Next checkpoint, with a measured 2% strict refusal rate (2/100).”

Running it

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

llama.cpp / GGUF
hf download 0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUF --local-dir ./rvn-qwen3.8-flash-next-abliterated-uncensored
llama-cli -m ./rvn-qwen3.8-flash-next-abliterated-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve 0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored --trust-remote-code

Downloads and variants (3)

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

RepositoryFormatDownloads
0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored-GGUFGGUF20K
0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-UncensoredsourceTransformers664
0bserverx/RVN-Qwen3.8-Flash-Next-Abliterated-Uncensored-NVFP4NVFP4322

Security-team assessment

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

  • RVN-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 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 RVN-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 0bserverx, and does not independently verify publisher claims. See responsible use.