Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
35BQwenuncensored
from Qwen/Qwen3.6-35B-A3B
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Qwen3.6-35B-A3B-Uncensored
Qwen3.6-35B-A3B-Uncensored is a abliterated and uncensored variant of Qwen/Qwen3.6-35B-A3B, published on Hugging Face by NeuralNet-Hub. It is 35B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 4 repositories in NVFP4 and GGUF formats, totalling 5.7K downloads.
Specification
- Model name
- Qwen3.6-35B-A3B-Uncensored
- Source repository
- NeuralNet-Hub/Qwen3.6-35B-A3B-Uncensored-NVFP4
- Base model
- Qwen/Qwen3.6-35B-A3B
- Publisher
- NeuralNet-Hub
- Parameters
- 35B (mixture-of-experts)
- 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
- NVFP4, GGUF
- First indexed
- 17 Apr 2026
- Last updated
- 3 Aug 2026
Ablation technique
How Qwen3.6-35B-A3B-Uncensored 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
“NeuralNet is a pioneering AI solutions provider that empowers businesses to harness the power of artificial intelligence.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download DuoNeural/Qwen3.6-35B-A3B-Uncensored-imatrix-GGUF --local-dir ./qwen3.6-35b-a3b-uncensored
llama-cli -m ./qwen3.6-35b-a3b-uncensored/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "NeuralNet-Hub/Qwen3.6-35B-A3B-Uncensored-NVFP4"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve NeuralNet-Hub/Qwen3.6-35B-A3B-Uncensored-NVFP4 --trust-remote-codeDownloads and variants (3)
Every published repository of Qwen3.6-35B-A3B-Uncensored, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| NeuralNet-Hub/Qwen3.6-35B-A3B-Uncensored-NVFP4source | NVFP4 | 3.9K |
| kyaky/Qwen3.6-35B-A3B-Uncensored-NVFP4 | NVFP4 | 1.7K |
| DuoNeural/Qwen3.6-35B-A3B-Uncensored-imatrix-GGUF | GGUF | 0 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.6-35B-A3B-Uncensored 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/Qwen3.6-35B-A3B, not added by ablation — at 35B 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 Qwen/Qwen3.6-35B-A3B’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 Qwen3.6-35B-A3B-Uncensored is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with NeuralNet-Hub, and does not independently verify publisher claims. See responsible use.