Qwen3.8-Flash-Next-Uncensored
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Qwen3.8-Flash-Next-abliterated-v2
Qwen3.8-Flash-Next-abliterated-v2 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 6 repositories in GGUF format, totalling 539.1K downloads.
Specification
- Model name
- Qwen3.8-Flash-Next-abliterated-v2
- Source repository
- huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF
- Base model
- Qwen/Qwen3.8-Flash-Next
- 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
- First indexed
- 11 Oct 2026
- Last updated
- 29 Oct 2026
Ablation technique
How Qwen3.8-Flash-Next-abliterated-v2 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-v2-GGUF --local-dir ./qwen3.8-flash-next-abliterated-v2
llama-cli -m ./qwen3.8-flash-next-abliterated-v2/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF"
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-v2-GGUF --trust-remote-codeDownloads and variants (5)
Every published repository of Qwen3.8-Flash-Next-abliterated-v2, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| huihui-ai/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUFsource | GGUF | 523.6K |
| AhmedPPL/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF | GGUF | 12K |
| BenMonkey11/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF | GGUF | 1.3K |
| V1ta11y1/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF | GGUF | 1.1K |
| loscrossos/Huihui-Qwen3.8-Flash-Next-abliterated-v2-GGUF | GGUF | 1.1K |
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-v2 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-v2 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.