Cyber-Tiel-Coder-35B-A3B
35BOtheruncensored
from huihui-ai/Huihui-Ornith-1.5-35B-A3B-abliterated
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Qwopus3.5-27B-v3-abliterated
Qwopus3.5-27B-v3-abliterated is a refusal-ablated variant of Jackrong/Qwopus3.5-27B-v3, published on Hugging Face by Amariturner. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 10 repositories in GGUF, Transformers, GGUF (imatrix) and NVFP4 formats, totalling 7.7K downloads.
Specification
- Model name
- Qwopus3.5-27B-v3-abliterated
- Source repository
- Amariturner/Huihui-Qwopus3.5-27B-v3-abliterated
- Base model
- Jackrong/Qwopus3.5-27B-v3
- Publisher
- Amariturner
- Parameters
- 27B
- VRAM required
- ~17.2 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF, Transformers, GGUF (imatrix), NVFP4
- First indexed
- 3 Apr 2026
- Last updated
- 27 Oct 2026
Ablation technique
How Qwopus3.5-27B-v3-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 Jackrong/Qwopus3.5-27B-v3 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:27B-Qwopusllama.cpp / GGUF
hf download mradermacher/Qwopus3.5-27B-v3-Abliterated-i1-GGUF --local-dir ./qwopus3.5-27b-v3-abliterated
llama-cli -m ./qwopus3.5-27b-v3-abliterated/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "Amariturner/Huihui-Qwopus3.5-27B-v3-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve Amariturner/Huihui-Qwopus3.5-27B-v3-abliterated --trust-remote-codeDownloads and variants (9)
Every published repository of Qwopus3.5-27B-v3-abliterated, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| mradermacher/Qwopus3.5-27B-v3-Abliterated-i1-GGUF | GGUF (imatrix) | 4.8K |
| mradermacher/Qwopus3.5-27B-v3-Abliterated-GGUF | GGUF | 898 |
| mradermacher/Huihui-Qwopus3.5-27B-v3-abliterated-GGUF | GGUF | 681 |
| croll83/Qwopus3.5-27B-v3-Abliterated | GGUF | 668 |
| mradermacher/Huihui-Qwopus3.5-27B-v3-abliterated-i1-GGUF | GGUF (imatrix) | 617 |
| sakamakismile/Huihui-Qwopus3.5-27B-v3-abliterated-NVFP4 | NVFP4 | 20 |
| YuYu1015/Huihui-Qwopus3.5-27B-v3-abliterated-NVFP4 | NVFP4 | 15 |
| Amariturner/Huihui-Qwopus3.5-27B-v3-abliteratedsource | Transformers | 9 |
| forirony/Qwopus3.5-27B-v3-abliterated-GGUF | GGUF | 0 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwopus3.5-27B-v3-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 Jackrong/Qwopus3.5-27B-v3, 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.
- Declared licence is apache-2.0, but the terms that bind you are Jackrong/Qwopus3.5-27B-v3’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 Qwopus3.5-27B-v3-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 Amariturner, and does not independently verify publisher claims. See responsible use.