abliteratedmodels.org

Qwen3.5-4B-Uncensored

Qwen3.5-4B-Uncensored is a abliterated and uncensored variant of Qwen/Qwen3.5-4B, published on Hugging Face by knoveleng. It is 4B parameters and single consumer GPU class. The publisher describes ablation applied at every layer. It is distributed across 12 repositories in MLX, GGUF, Transformers and FP8 formats, totalling 11.1K downloads.

Abliteration + uncensored fine-tune4BQwen4B – 10B11,1395

Specification

Model name
Qwen3.5-4B-Uncensored
Base model
Qwen/Qwen3.5-4B
Publisher
knoveleng
Parameters
4B
Hardware class
4B – 10B — single consumer GPU
Licence
Not declared
Task
Unspecified
Context window
Not documented
Ablation scope
Every layer
Formats available
MLX, GGUF, Transformers, FP8, GGUF (imatrix)
First indexed
15 Mar 2026
Last updated
23 Aug 2026

Ablation technique

How Qwen3.5-4B-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: Every layer. This comes from the publisher’s own model card and has not been independently verified.

From the publisher’s model card

This model is a weight-level orthogonalized ("abliterated") version of Qwen/Qwen3.5-4B, produced with orthex — an implementation of the technique from Arditi et al., "Refusal in Language Models Is Mediated by a Single Direction" (NeurIPS 2024).

Running it

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

llama.cpp / GGUF
hf download mradermacher/Qwen3.5-4B-Uncensored-GGUF --local-dir ./qwen3.5-4b-uncensored
llama-cli -m ./qwen3.5-4b-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "knoveleng/Qwen3.5-4B-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve knoveleng/Qwen3.5-4B-Uncensored --trust-remote-code

Downloads and variants (11)

Every published repository of Qwen3.5-4B-Uncensored, 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.

  • Qwen3.5-4B-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/Qwen3.5-4B, not added by ablation — at 4B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
  • Full-depth ablation maximises compliance and is the configuration most likely to have measurably degraded the base model.
  • 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.
  • No licence is declared on this repository, which is a compliance problem in itself. Resolve it against the base model’s terms before use.

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 Qwen3.5-4B-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 knoveleng, and does not independently verify publisher claims. See responsible use.