Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal
27BQwenuncensored
from AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16
↓ 6.5K♥ 373 repos
Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS
Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS is a abliterated and uncensored variant of AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16, published on Hugging Face by AEON-7. It is 27B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 3 repositories in NVFP4 format, totalling 15.5K downloads.
Specification
- Model name
- Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS
- Source repository
- AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-NVFP4-MTP-XS
- Publisher
- AEON-7
- Parameters
- 27B
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- 256K tokens (as documented)
- Ablation scope
- Not stated by the publisher
- Formats available
- NVFP4
- First indexed
- 28 Apr 2026
- Last updated
- 15 Jul 2026
Ablation technique
How Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS 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
“Complete copy-paste recipe: pull the container, pull this model, pull the DFlash drafter, then serve. (Fuller deployment options — dedicated-VRAM Blackwell MTP, env vars, compose — are in the Usage section below.)”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-NVFP4-MTP-XS"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-NVFP4-MTP-XS --trust-remote-codeDownloads and variants (2)
Every published repository of Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-NVFP4-MTP-XSsource | NVFP4 | 15.4K |
| connorhzp/Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-NVFP4-MTP-XS | NVFP4 | 29 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS 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 AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16, 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 AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16’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 Qwen3.6-27B-AEON-Ultimate-Uncensored-Multimodal-MTP-XS is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with AEON-7, and does not independently verify publisher claims. See responsible use.