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DeepSeek-R1-Distill-Qwen-32B-abliterated

DeepSeek-R1-Distill-Qwen-32B-abliterated is a refusal-ablated variant of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B, published on Hugging Face by huihui-ai. It is 32B parameters and 48GB VRAM class class. It is distributed across 31 repositories in GGUF, Transformers, EXL2 and GGUF (imatrix) formats, totalling 37.9K downloads.

Abliteration (directional ablation)32BQwen25B – 50B↓ 37,909♥ 260

Specification

Model name
DeepSeek-R1-Distill-Qwen-32B-abliterated
Publisher
huihui-ai
Parameters
32B
VRAM required
~20.3 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
Hardware class
25B – 50B — 48GB VRAM class
Licence
Not declared
Task
Text generation
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, Transformers, EXL2, GGUF (imatrix), GPTQ, AWQ, MLX
First indexed
22 Jan 2025
Last updated
17 Oct 2026

Ablation technique

How DeepSeek-R1-Distill-Qwen-32B-abliterated was modified, and what that implies.

Abliteration (directional ablation)

The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.

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 is an uncensored version of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.”

Running it

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

Ollama (publisher-documented)
ollama run huihui_ai/deepseek-r1-abliterated:32b
llama.cpp / GGUF
hf download bartowski/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUF --local-dir ./deepseek-r1-distill-qwen-32b-abliterated
llama-cli -m ./deepseek-r1-distill-qwen-32b-abliterated/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated --trust-remote-code

Downloads and variants (30)

Every published repository of DeepSeek-R1-Distill-Qwen-32B-abliterated, including quantised re-releases by other authors.

RepositoryFormatDownloads
bartowski/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUFGGUF28.6K
mradermacher/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUFGGUF2.5K
mlx-community/DeepSeek-R1-Distill-Qwen-32B-abliterated-4bitMLX1.2K
mradermacher/DeepSeek-R1-Distill-Qwen-32B-abliterated-i1-GGUFGGUF (imatrix)1.1K
huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliteratedsourceTransformers1.1K
Thaurock/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUFGGUF1.1K
xxris/DeepSeek-R1-Distill-Qwen-32B-abliteratedMLX798
S010/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8-mlxMLX362
tensorblock/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUFGGUF243
mlx-community/DeepSeek-R1-Distill-Qwen-32B-abliteratedMLX180
Orion-zhen/DeepSeek-R1-Distill-Qwen-32B-abliterated-AWQAWQ102
kagevazquez/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_K_M-GGUFGGUF90
KYUNGYONG/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4-mlxMLX57
jlopez-dl/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q5_K_M-GGUFGGUF48
havenwood/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q5_K_M-GGUFGGUF42
StephenGenusa/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_0-GGUFGGUF36
lactroiii/DeepSeek-R1-Distill-Qwen-32B-abliterated-GGUFGGUF36
drmcbride/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8_0-GGUFGGUF34
raissadev/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_K_M-GGUFGGUF34
iceqi1979/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_K_M-GGUFGGUF33
phenixstar/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_K_M-GGUFGGUF33
G17c21ds/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8_0-GGUFGGUF31
Homurachyan/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_K_M-GGUFGGUF31
BenevolenceMessiah/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8_0-GGUFGGUF28
jacobcarajo/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q5_K_M-GGUFGGUF20
JaySinDub/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4_K_M-GGUFGGUF19
stepenZEN/DeepSeek-R1-Distill-Qwen-32B-abliteratedTransformers18
fcvcggvvv/DeepSeek-R1-Distill-Qwen-32B-abliteratedTransformers14
Apel-sin/deepseek-r1-distill-qwen-32B-abliterated-exl2EXL20
numen-tech/DeepSeek-R1-Distill-Qwen-32B-abliterated-GPTQ-Int4GPTQ0

Security-team assessment

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

  • DeepSeek-R1-Distill-Qwen-32B-abliterated 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 deepseek-ai/DeepSeek-R1-Distill-Qwen-32B, not added by ablation — at 32B 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.
  • 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 DeepSeek-R1-Distill-Qwen-32B-abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with huihui-ai, and does not independently verify publisher claims. See responsible use.