Deepseek-R1-Distill-Qwen-32b-uncensored
32BQwenuncensored
from deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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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 29 repositories in Transformers, GGUF, EXL2 and GGUF (imatrix) formats, totalling 18.2K downloads.
Specification
- Model name
- DeepSeek-R1-Distill-Qwen-32B-abliterated
- Source repository
- huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
- Base model
- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
- Publisher
- huihui-ai
- Parameters
- 32B
- 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
- Transformers, GGUF, EXL2, GGUF (imatrix), GPTQ, AWQ, MLX
- First indexed
- 22 Jan 2025
- Last updated
- 9 May 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:32bllama.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-codeDownloads and variants (28)
Every published repository of DeepSeek-R1-Distill-Qwen-32B-abliterated, 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.
- 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.