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Qwen3.6-35B-Uncensored-HauhauCS-1M

Qwen3.6-35B-Uncensored-HauhauCS-1M is a abliterated and uncensored variant of HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive, published on Hugging Face by satgeze. It is 35B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 10.6K downloads.

Abliteration + uncensored fine-tune35BQwen25B – 50B↓ 10,599♥ 10
View on Hugging Face ↗Base model ↗

Specification

Model name
Qwen3.6-35B-Uncensored-HauhauCS-1M
Source repository
satgeze/Qwen3.6-35B-Uncensored-HauhauCS-1M-GGUF
Base model
HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
Publisher
satgeze
Parameters
35B
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
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF
First indexed
6 Jul 2026
Last updated
10 Jul 2026

Ablation technique

How Qwen3.6-35B-Uncensored-HauhauCS-1M 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

“HauhauCS's Aggressive uncensored build of Qwen3.6-35B-A3B, extended to a 1,048,576-token context and fused with the official MTP speculative-decoding layer. Every claim on the banner is measured, not inherited. Verification data ships in this repo.”

Running it

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

Ollama (publisher-documented)
ollama run satgeze/qwen36-35b-uncensored-1m
llama.cpp / GGUF
hf download satgeze/Qwen3.6-35B-Uncensored-HauhauCS-1M-GGUF --local-dir ./qwen3.6-35b-uncensored-hauhaucs-1m
llama-cli -m ./qwen3.6-35b-uncensored-hauhaucs-1m/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "satgeze/Qwen3.6-35B-Uncensored-HauhauCS-1M-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve satgeze/Qwen3.6-35B-Uncensored-HauhauCS-1M-GGUF --trust-remote-code

Downloads and variants (1)

The only published repository of Qwen3.6-35B-Uncensored-HauhauCS-1M.

RepositoryFormatDownloads
satgeze/Qwen3.6-35B-Uncensored-HauhauCS-1M-GGUFsourceGGUF10.6K

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Qwen3.6-35B-Uncensored-HauhauCS-1M 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 HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive, 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 HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive’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-Uncensored-HauhauCS-1M is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with satgeze, and does not independently verify publisher claims. See responsible use.