← back to catalog · registered 2026-10-25 02:00

huihui-ai/Huihui-DeepSeek-V4.1-Flash-1017-abliterated-GGUF

huihui-ai Deepseek GGUF multimodal
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/huihui-ai%2FHuihui-DeepSeek-V4.1-Flash-1017-abliterated-GGUF"
Response includes
  • classification m8
  • files 3
  • author_summary 187 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of layer-wise ablation inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 2 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=huihui-ai + is_gguf=1
  • M3 (huihui abliteration) wrapped in M8 (GGUF quantization)
Refusal direction extracted via
Extraction technique

huihui-ai layer-band extraction

Confidence
HIGH
Why we say so
producer=huihui-ai (documented layer-band methodology in model cards)
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-10-25

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
mit
Tags
transformers gguf deepseek deepseek_v41 unsloth abliterated uncensored huihui image-text-to-text base_model:deepseek-ai/DeepSeek-V4.1-Flash-1017 base_model:quantized:deepseek-ai/DeepSeek-V4.1-Flash-1017 license:mit

Related

Total size
0 B
Files
3
Quantizations
2
Registered
2026-10-25 02:00
Last updated on HF
2026-10-25 01:34

Files by quantization

BF16 1 file 927 MB
mmproj-BF16.gguf 927 MB 9a1ef7c4 download
Auxiliary files 2 files 4.70 KB
README.md 3.17 KB ed121199 download
.gitattributes 1.54 KB f62151d8 download

README current version from Hugging Face


license: mit
library_name: transformers
pipeline_tag: image-text-to-text
base_model: deepseek-ai/DeepSeek-V4.1-Flash-1017
tags:

  • deepseek
  • deepseek_v41
  • unsloth
  • abliterated
  • uncensored
  • huihui

huihui-ai/Huihui-DeepSeek-V4.1-Flash-1017-abliterated

This is an uncensored version of deepseek-ai/DeepSeek-V4.1-Flash-1017 created with abliteration.

This ablation was performed entirely using llama.cpp's GGUF model, without relying on Transformers,

For the specific ablation method, please refer to cvector-generator.

Note

The UD- series come from unsloth/DeepSeek-V4.1-Flash-1017-GGUF.
Only layers 11 to 28 (0-based indexing) have been ablated.
The expert system was not ablated. Only 18 weights were ablated in total (the 18 attn_output_b tensors); everything else was left untouched.

llama.cpp


apt-get update
apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev git -y
git clone https://github.com/ggml-org/llama.cpp
git -C llama.cpp fetch origin pull/30817/head:deepseek41
git -C llama.cpp checkout deepseek41
cmake llama.cpp -B llama.cpp/build \
    -DBUILD_SHARED_LIBS=OFF -DGGML_CUDA=ON
cmake --build llama.cpp/build --config Release -j --clean-first --target llama-cli llama-mtmd-cli llama-server llama-gguf-split
cp llama.cpp/build/bin/llama-* llama.cpp

llama-cli -m huihui-ai/Huihui-DeepSeek-V4.1-Flash-1017-abliterated/UD-IQ1_S/DeepSeek-V4.1-Flash-1017-UD-IQ1_S-00001-of-00005.gguf -c 262144

Usage Warnings

  • Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

Donation

Your donation helps us continue our further development and improvement, a cup of coffee can do it.
  • bitcoin:
  bc1qqnkhuchxw0zqjh2ku3lu4hq45hc6gy84uk70ge
  • Support our work on Ko-fi!
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration