abliteratedmodels.org

Qwen3.5-9B-Unredacted

Qwen3.5-9B-Unredacted is a abliterated and uncensored variant of prithivMLmods/Qwen3.5-9B-Unredacted-MAX, published on Hugging Face by prithivMLmods. It is 9B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 4 repositories in Transformers, GGUF and GGUF (imatrix) formats, totalling 5.2K downloads.

Abliteration + uncensored fine-tune9BQwen4B – 10B5,16212

Specification

Model name
Qwen3.5-9B-Unredacted
Publisher
prithivMLmods
Parameters
9B
Hardware class
4B – 10B — single consumer GPU
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
6 Mar 2026
Last updated
1 Jun 2026

Ablation technique

How Qwen3.5-9B-Unredacted 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 model has been re-sharded and optimized for the latest Transformers version from the base model: https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-abliterated

Running it

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

llama.cpp / GGUF
hf download mradermacher/Qwen3.5-9B-Unredacted-MAX-GGUF --local-dir ./qwen3.5-9b-unredacted
llama-cli -m ./qwen3.5-9b-unredacted/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "prithivMLmods/Qwen3.5-9B-Unredacted-MAX"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve prithivMLmods/Qwen3.5-9B-Unredacted-MAX --trust-remote-code

Downloads and variants (3)

Every published repository of Qwen3.5-9B-Unredacted, 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.

  • Qwen3.5-9B-Unredacted 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 prithivMLmods/Qwen3.5-9B-Unredacted-MAX, not added by ablation — at 9B 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.
  • 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 prithivMLmods/Qwen3.5-9B-Unredacted-MAX’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 Qwen3.5-9B-Unredacted 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.