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OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt

OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt is a abliterated and uncensored variant of Qwen/Qwen3.8-Flash-Next, published on Hugging Face by auto7x. It is other licence. It is distributed across 3 repositories in NVFP4 and GGUF formats, totalling 27K downloads.

Abliteration + uncensored fine-tuneQwen↓ 26,982♥ 20
View on Hugging Face ↗Base model ↗

Specification

Model name
OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt
Source repository
auto7x/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4-GGUF
Base model
Qwen/Qwen3.8-Flash-Next
Publisher
auto7x
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
NVFP4, GGUF
First indexed
17 Sept 2026
Last updated
8 Oct 2026

Ablation technique

How OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt 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

“Published by request from the Pennyroyal community. This is a ModelOpt NVFP4 conversion of OrcaRouter’s uncensored Qwen3.8 Flash-Next checkpoint—the conversion I use for local agentic work with Pennyroyal/SGLang.”

Running it

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

llama.cpp / GGUF
hf download auto7x/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4-GGUF --local-dir ./orcarouter-qwen3.8-flash-next-uncensored-modelopt
llama-cli -m ./orcarouter-qwen3.8-flash-next-uncensored-modelopt/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "auto7x/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve auto7x/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4-GGUF --trust-remote-code

Downloads and variants (2)

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

RepositoryFormatDownloads
auto7x/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4-GGUFsourceGGUF22.5K
jpezzulli/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4NVFP44.5K

Security-team assessment

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

  • OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt 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 OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with auto7x, and does not independently verify publisher claims. See responsible use.