orcarouter_Qwen3.8-27B-Uncensored
27BOtheruncensored
from orcarouter/Qwen3.8-27B-Uncensored
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Qwen3.8-27B-Uncensored-OptiQ
Qwen3.8-27B-Uncensored-OptiQ is a abliterated and uncensored variant of orcarouter/Qwen3.8-27B-Uncensored, published on Hugging Face by mlx-community. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in MLX format, totalling 5.4K downloads.
Specification
- Model name
- Qwen3.8-27B-Uncensored-OptiQ
- Source repository
- mlx-community/Qwen3.8-27B-Uncensored-OptiQ-4bit
- Base model
- orcarouter/Qwen3.8-27B-Uncensored
- Publisher
- mlx-community
- Parameters
- 27B
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- MLX
- First indexed
- 25 Aug 2026
- Last updated
- 25 Aug 2026
Ablation technique
How Qwen3.8-27B-Uncensored-OptiQ 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
“OptiQ mixed-precision quant of orcarouter/Qwen3.8-27B-Uncensored, a Qwen3.8-family reasoning model with a bundled MTP speculation head. 19 GB on disk.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "mlx-community/Qwen3.8-27B-Uncensored-OptiQ-4bit"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve mlx-community/Qwen3.8-27B-Uncensored-OptiQ-4bit --trust-remote-codeDownloads and variants (1)
The only published repository of Qwen3.8-27B-Uncensored-OptiQ.
| Repository | Format | Downloads |
|---|---|---|
| mlx-community/Qwen3.8-27B-Uncensored-OptiQ-4bitsource | MLX | 5.4K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.8-27B-Uncensored-OptiQ 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.
- Capability is inherited from orcarouter/Qwen3.8-27B-Uncensored, not added by ablation — at 27B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- 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 apache-2.0, but the terms that bind you are orcarouter/Qwen3.8-27B-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 Qwen3.8-27B-Uncensored-OptiQ 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.