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DeepSeek-V4.1-Flash-Uncensored

DeepSeek-V4.1-Flash-Uncensored is a abliterated and uncensored variant of deepseek-ai/DeepSeek-V4.1-Flash, published on Hugging Face by metalman3289. It is mit licence. It is distributed across 53 repositories in FP8, MLX, EXL3 and GGUF formats, totalling 68.9K downloads.

Abliteration + uncensored fine-tuneDeepSeek↓ 68,919♥ 827

Specification

Model name
DeepSeek-V4.1-Flash-Uncensored
Publisher
metalman3289
Parameters
Not determinable from name
VRAM required
Unknown — no published parameter count
Hardware class
Unknown
Licence
mit
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
FP8, MLX, EXL3, GGUF, NVFP4, Transformers
First indexed
10 Sept 2026
Last updated
31 Oct 2026

Ablation technique

How DeepSeek-V4.1-Flash-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: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.

Running it

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

llama.cpp / GGUF
hf download Adolphsson/DeepSeek-V4.1-Flash-UNCENSORED-GGUF --local-dir ./deepseek-v4.1-flash-uncensored
llama-cli -m ./deepseek-v4.1-flash-uncensored/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "metalman3289/DeepSeek-V4.1-Flash-Uncensored"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve metalman3289/DeepSeek-V4.1-Flash-Uncensored --trust-remote-code

Downloads and variants (52)

Every published repository of DeepSeek-V4.1-Flash-Uncensored, including quantised re-releases by other authors.

RepositoryFormatDownloads
Adolphsson/DeepSeek-V4.1-Flash-UNCENSORED-GGUFGGUF38.9K
dealignai/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP825.9K
dealignai/DeepSeek-V4.1-Flash-UNCENSORED-EXL3-2.9bpwEXL31.2K
MomonV/DeepSeek-V4.1-Flash-UNCENSORED-NVFP4NVFP4316
com-kotobalabs/Deepseek-v4.1-Flash-Uncensored-EXL3-2.0bpwEXL3147
zugquants/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP8101
Openintelligent123/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP879
Yeahutoo/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP874
miningchia/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP873
bobfamily/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP869
Tina34/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP868
isihdfg/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP867
sunny121hh/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP866
ROMEKTRICKS/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP865
kg3n/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP864
codingforfun/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP861
neuchatelquants/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP861
Doogzy/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP861
baselquants/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP859
juan1030/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP859
KoBadger/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP856
hbheiner26/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP855
nayabbelim/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP855
AleaiactaEst1/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP855
StableAIGen/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP853
Huy112200/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP852
emmenquants/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP852
jgod123/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP852
Nefarious1313/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP850
MinamiJie/DeepSeek-V4.1-Flash-UNCENSORED-FP8FP849
Plus 22 further repositories with fewer downloads, all counted in the totals above.

Security-team assessment

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

  • DeepSeek-V4.1-Flash-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.
  • 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 mit, but the terms that bind you are deepseek-ai/DeepSeek-V4.1-Flash’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 DeepSeek-V4.1-Flash-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 metalman3289, and does not independently verify publisher claims. See responsible use.