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Qwen3.6-35B-A3B-Uncensored-Aggressive

Qwen3.6-35B-A3B-Uncensored-Aggressive is a abliterated and uncensored variant of Qwen/Qwen3.6-35B-A3B, published on Hugging Face by prithivMLmods. It is 35B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 5 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 6.1K downloads.

Abliteration + uncensored fine-tune35B MoEQwen25B – 50B↓ 6,082♥ 10

Specification

Model name
Qwen3.6-35B-A3B-Uncensored-Aggressive
Publisher
prithivMLmods
Parameters
35B (mixture-of-experts)
VRAM required
~22.1 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
Transformers, GGUF, GGUF (imatrix)
First indexed
28 Apr 2026
Last updated
23 Oct 2026

Ablation technique

How Qwen3.6-35B-A3B-Uncensored-Aggressive 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

“This release does not introduce new benchmark evaluations and primarily focuses on repackaging, sharding updates, and Transformers compatibility improvements over the base model.”

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download mradermacher/Qwen3.6-35B-A3B-Uncensored-Aggressive-i1-GGUF --local-dir ./qwen3.6-35b-a3b-uncensored-aggressive
llama-cli -m ./qwen3.6-35b-a3b-uncensored-aggressive/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "prithivMLmods/Qwen3.6-35B-A3B-Uncensored-Aggressive"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve prithivMLmods/Qwen3.6-35B-A3B-Uncensored-Aggressive --trust-remote-code

Downloads and variants (4)

Every published repository of Qwen3.6-35B-A3B-Uncensored-Aggressive, including quantised re-releases by other authors.

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-Aggressive 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-Aggressive is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with prithivMLmods, and does not independently verify publisher claims. See responsible use.