Qwen3.8-Flash-Next-Uncensored-Gufo-Q4Mix
Qwenuncensored
from orcarouter/Qwen3.8-Flash-Next-Uncensored
↓ 49K♥ 17
Qwen3.8-Flash-Next-Uncensored-oQ5e
Qwen3.8-Flash-Next-Uncensored-oQ5e is a abliterated and uncensored variant of orcarouter/Qwen3.8-Flash-Next-Uncensored, published on Hugging Face by mlx-community. It is other licence. It is distributed across 3 repositories in MLX format, totalling 7K downloads.
Specification
- Model name
- Qwen3.8-Flash-Next-Uncensored-oQ5e
- Source repository
- mlx-community/Qwen3.8-Flash-Next-Uncensored-oQ5e-mtp
- Base model
- orcarouter/Qwen3.8-Flash-Next-Uncensored
- Publisher
- mlx-community
- Parameters
- Not determinable from name
- VRAM required
- Unknown — no published parameter count
- Hardware class
- Unknown
- Licence
- other
- Task
- Image text to text
- Context window
- 262K tokens (as documented)
- Ablation scope
- Not stated by the publisher
- Formats available
- MLX
- First indexed
- 15 Sept 2026
- Last updated
- 18 Sept 2026
Ablation technique
How Qwen3.8-Flash-Next-Uncensored-oQ5e 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
“Calibrated 5-bit mixed-precision MLX quantization of orcarouter/Qwen3.8-Flash-Next-Uncensored, the BF16 abliterated build of Qwen/Qwen3.8-Flash-Next. Produced with oMLX oQe (oQ level 5 with imatrix weighting). 5.72 bits per weight effective, 128.54 GB on disk (119.7 GiB) across 25 safetensors shards. Everything from...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "mlx-community/Qwen3.8-Flash-Next-Uncensored-oQ5e-mtp"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve mlx-community/Qwen3.8-Flash-Next-Uncensored-oQ5e-mtp --trust-remote-codeDownloads and variants (2)
Every published repository of Qwen3.8-Flash-Next-Uncensored-oQ5e, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| mlx-community/Qwen3.8-Flash-Next-Uncensored-oQ5e-mtpsource | MLX | 6.6K |
| LMLiutenant/Qwen3.8-Flash-Next-Uncensored-oQ5e-mtp | MLX | 370 |
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-oQ5e 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-oQ5e is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with mlx-community, and does not independently verify publisher claims. See responsible use.