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Huihui Gemma 4 E4B It Qat Q4 0 Unquantized Abliterated GGUF

This is an uncensored version of google/gemma-4-E4B-it-qat-q40-unquantized created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to...

TipoOtherModelo basegoogle/gemma-4-E4B-it-qat-q4_0-unquantizedVersãoRevision bc37decBnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
164 MB–13,9 GB
Modelo base
google/gemma-4-E4B-it-qat-q4_0-unquantized
Versão
vRevision bc37dec
Atualizado
26 de set. de 2026
Downloads
5,3 mil
Fonte
Hugging Face

Descrição da fonte

huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF

This is an uncensored version of google/gemma-4-E4B-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:E4B-qat directly,

ollama run huihui_ai/gemma-4-abliterated:E4B-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-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/Huihui-gemma-4-E4B-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-E4B-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.

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Fontes

1 fonte
Hugging FacePrimárioVersão bc37dec4db35ea0fcad97be7a8c6b3f6a499616b
huggingface.co/huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/tree/bc37dec4db35ea0fcad97be7a8c6b3f6a499616b

Verificado 16 de ago.

Artefatos de modelo

4 artefatos

Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-bf16.gguf

gguf · 13,9 GB · SHA-256 95cfed74e38f…e081 · Hugging Face

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Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-Q4_K.gguf

gguf · 4,94 GB · SHA-256 64434f2da081…2d4c · Hugging Face

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mmproj-model-bf16.gguf

gguf · 946 MB · SHA-256 ed22c2c5277b…2374 · Hugging Face

Baixar

mtp-ggml-model-bf16.gguf

gguf · 164 MB · SHA-256 f784491087cd…3c59 · Hugging Face

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Trechos de fonte

2 trechos

--- --- 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-E4B-it-qat-q4_0-unquantized tags: - abliterated - uncensored --- # huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF This is an uncensored version of [google/gemma-4-E4B-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-4-E4B-it-qat-q4_0-unquantized) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/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](https://github.com/ollama/ollama/releases/) You can use [huihui_ai/gemma-4-abliterated:E4B-qat](https://ollama.com/huihui_ai/gemma-4-abliterated:E4B-qat) directly, ``` ollama run huihui_ai/gemma-4-abliterated:E4B-qat ``` ## GGUF Please use the latest version of [ggml-org/llama.cpp](https://github.com/ggml-org/llama.cpp/releases) ``` 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-E4B-it-qat-q4_0-unquantized-abliterated-GGUF/Huihui-gemma-4-E4B-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-E4B-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...

Source context: 5306 downloads · 19 likes · Pipeline any-to-any · Library transformers · Repo huihui-ai/Huihui-gemma-4-E4B-it-qat-q4_0-unquantized-abliterated-GGUF