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huihui-ai/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-GGUF

huihui-ai Gemma 31B GGUF 262K ctx
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  • classification m8
  • files 6
  • hub_downloads_all_time 46,957
  • author_summary 185 models
  • readme_text full
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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 · lifetime
47K
8K last 30d - stable
Likes
20
Model age
4mo ago
created 2026-06-11
Downloads over time
Now50.3K→from1.2K↑3,934%
018.4K36.9K55.3K1.2K on Jun 1050.3K on Oct 11JunJulAugSepOct
Jun 10 → Oct 11 · 58 snapshots · spans 123 days

Genealogy 0 direct forks

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Variants by this author 2 formats · 8K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Quantizations
BF16 Q4_K
Tags
transformers gguf abliterated uncensored any-to-any base_model:google/gemma-4-31B-it-qat-q4_0-unquantized base_model:quantized:google/gemma-4-31B-it-qat-q4_0-unquantized license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
75.5 GB
Files
6
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-06-11 14:06

Files by quantization

BF16 3 files 59.2 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-bf16.gguf 57.2 GB 7dc54daa download
mtp-ggml-model-bf16.gguf 911 MB 4aa11121 download
mmproj-model-bf16.gguf 1.12 GB fa3c5842 download
Q4_K 1 file 17.4 GB
Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf 17.4 GB 01fa18ad download
Auxiliary files 2 files 5.17 KB
README.md 3.37 KB e500d9cd download
.gitattributes 1.80 KB a1396853 download

README current version from Hugging Face



library_name: transformers
license: apache-2.0
license_link: https://ai.google.dev/gemma/docs/gemma_4_license
pipeline_tag: any-to-any
base_model:

  • google/gemma-4-31B-it-qat-q4_0-unquantized
    tags:
  • abliterated
  • uncensored

huihui-ai/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-GGUF

This is an uncensored version of google/gemma-4-31B-it-qat-q4_0-unquantized 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.

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:31b-qat directly,

ollama run huihui_ai/gemma-4-abliterated:31b-qat

GGUF

Please use the latest version of ggml-org/llama.cpp

apt-get update
apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
git clone https://github.com/ggml-org/llama.cpp
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.cpp/llama-cli \
    -m huihui-ai/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-GGUF/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf \
    -ngl 99 -c 262144 \
    --spec-type draft-mtp \
    --spec-draft-n-max 4 \
    --spec-draft-model huihui-ai/Huihui-gemma-4-31B-it-qat-q4_0-unquantized-abliterated-GGUF/mtp-ggml-model-bf16.gguf

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

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README history 2 versions

The author's README evolved over time. Click a version to see its content at that point.

  1. 2026-06-11Update README.mdd88eed23.4 KB
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  2. 2026-06-11Create README.mdca1ac3d3.1 KB
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Discussions 1 thread

  1. 2026-06-24VS Heretic?open1 💬#1
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