Qwen3.5-0.8B-Uncensored
0.8BQwenuncensored
from Qwen/Qwen3.5-0.8B
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Qwen3.5-0.8B-abliterated
Qwen3.5-0.8B-abliterated is a refusal-ablated variant of Qwen/Qwen3.5-0.8B, published on Hugging Face by huihui-ai. It is 0.8B parameters, runs on a laptop CPU class and apache-2.0 licence. It is distributed across 14 repositories in Transformers, GGUF, GGUF (imatrix) and MLX formats, totalling 6K downloads.
Specification
- Model name
- Qwen3.5-0.8B-abliterated
- Source repository
- huihui-ai/Huihui-Qwen3.5-0.8B-abliterated
- Base model
- Qwen/Qwen3.5-0.8B
- Publisher
- huihui-ai
- Parameters
- 0.8B
- Hardware class
- Under 4B — runs on a laptop CPU
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF, GGUF (imatrix), MLX, ONNX
- First indexed
- 2 Mar 2026
- Last updated
- 29 Aug 2026
Ablation technique
How Qwen3.5-0.8B-abliterated 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/Qwen3.5-0.8B 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.
Ollama (publisher-documented)
ollama run huihui_ai/qwen3.5-abliterated:0.8bllama.cpp / GGUF
hf download mradermacher/Huihui-Qwen3.5-0.8B-abliterated-GGUF --local-dir ./qwen3.5-0.8b-abliterated
llama-cli -m ./qwen3.5-0.8b-abliterated/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "huihui-ai/Huihui-Qwen3.5-0.8B-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve huihui-ai/Huihui-Qwen3.5-0.8B-abliterated --trust-remote-codeDownloads and variants (13)
Every published repository of Qwen3.5-0.8B-abliterated, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| mradermacher/Huihui-Qwen3.5-0.8B-abliterated-GGUF | GGUF | 2.8K |
| huihui-ai/Huihui-Qwen3.5-0.8B-abliteratedsource | Transformers | 804 |
| mradermacher/Qwen3.5-0.8B-abliterated-GGUF | GGUF | 671 |
| mradermacher/Huihui-Qwen3.5-0.8B-abliterated-i1-GGUF | GGUF (imatrix) | 558 |
| wangzhang/Qwen3.5-0.8B-abliterated | Transformers | 548 |
| mradermacher/Qwen3.5-0.8B_Abliterated-i1-GGUF | GGUF (imatrix) | 227 |
| mradermacher/Qwen3.5-0.8B_Abliterated-GGUF | GGUF | 200 |
| AITRADER/Huihui-Qwen3.5-0.8B-abliterated-fp16-MLX | MLX | 49 |
| AITRADER/Huihui-Qwen3.5-0.8B-abliterated-mxfp4-MLX | MLX | 49 |
| SicariusSicariiStuff/Qwen3.5-0.8B_Abliterated | Transformers | 27 |
| lew96123/Qwen3.5-0.8B-abliterated | Transformers | 25 |
| bobber/Huihui-Qwen3.5-0.8B-abliterated-onnx | ONNX | 18 |
| mubasherch5200/Huihui-Qwen3.5-0.8B-abliterated | Transformers | 2 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.5-0.8B-abliterated 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 Qwen/Qwen3.5-0.8B, not added by ablation — at 0.8B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- Declared licence is apache-2.0, but the terms that bind you are Qwen/Qwen3.5-0.8B’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 Qwen3.5-0.8B-abliterated 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.