Qwen3.8-Flash-Next-Uncensored-Serve
Qwenuncensored
from orcarouter/Qwen3.8-Flash-Next-Uncensored
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Qwen3.8-Flash-Next-Uncensored-NGQ4
Qwen3.8-Flash-Next-Uncensored-NGQ4 is a abliterated and uncensored variant of orcarouter/Qwen3.8-Flash-Next-Uncensored, published on Hugging Face by cygnal. It is other licence. It is distributed across 2 repositories in GGUF format, totalling 17.8K downloads.
Specification
- Model name
- Qwen3.8-Flash-Next-Uncensored-NGQ4
- Source repository
- cygnal/Qwen3.8-Flash-Next-Uncensored-IQ4XS-NGQ4-GGUF
- Base model
- orcarouter/Qwen3.8-Flash-Next-Uncensored
- Publisher
- cygnal
- Parameters
- Not determinable from name
- Hardware class
- Unknown
- Licence
- other
- Task
- Unspecified
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 28 Aug 2026
- Last updated
- 28 Aug 2026
Ablation technique
How Qwen3.8-Flash-Next-Uncensored-NGQ4 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
“First working GGUF build of Qwen3.8-Flash-Next (qwen4exp architecture) with vision, running on stock llama.cpp — no custom tensor formats or forked runtime required. Built from orcarouter/Qwen3.8-Flash-Next-Uncensored, the abliterated (uncensored) release of Qwen's newest hybrid architecture.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download cygnal/Qwen3.8-Flash-Next-Uncensored-IQ4XS-NGQ4-GGUF --local-dir ./qwen3.8-flash-next-uncensored-ngq4
llama-cli -m ./qwen3.8-flash-next-uncensored-ngq4/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "cygnal/Qwen3.8-Flash-Next-Uncensored-IQ4XS-NGQ4-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve cygnal/Qwen3.8-Flash-Next-Uncensored-IQ4XS-NGQ4-GGUF --trust-remote-codeDownloads and variants (1)
The only published repository of Qwen3.8-Flash-Next-Uncensored-NGQ4.
| Repository | Format | Downloads |
|---|---|---|
| cygnal/Qwen3.8-Flash-Next-Uncensored-IQ4XS-NGQ4-GGUFsource | GGUF | 17.8K |
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-Uncensored-NGQ4 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 orcarouter/Qwen3.8-Flash-Next-Uncensored’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-Uncensored-NGQ4 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with cygnal, and does not independently verify publisher claims. See responsible use.