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Huihui Gemma 4 E2B It Qat Q4 0 Unquantized Abliterated

This is an uncensored version of google/gemma-4-E2B-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...

TipoText modelModelo basegoogle/gemma-4-E2B-it-qat-q4_0-unquantizedVersiónmodelBcalidad

Fuente del modelo

Tipo
Text model
Tamaño del archivo
9,51 GB
Modelo base
google/gemma-4-E2B-it-qat-q4_0-unquantized
Versión
vmodel
Actualizado
14 oct 2026
Descargas
264
Fuente
Hugging Face

Descripción de la fuente

huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated

This is an uncensored version of google/gemma-4-E2B-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.

GUF

huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated-GGUF

ollama

Please use the latest version of ollama

You can use huihui_ai/gemma-4-abliterated:E2B-qat directly,

ollama run huihui_ai/gemma-4-abliterated:E2B-qat

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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Fuentes

1 fuente
Hugging FacePrincipalVersión 8f3a91d4c94343d170d898b2b6ce9182dd7c84e1
huggingface.co/huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated/tree/8f3a91d4c94343d170d898b2b6ce9182dd7c84e1

Verificado 16 ago

Artefactos del modelo

1 artefacto

model.safetensors

safetensors · 9,51 GB · SHA-256 4922b49aa6a4…618d · Hugging Face

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Extractos de fuentes

2 extractos

--- 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-E2B-it-qat-q4_0-unquantized tags: - abliterated - uncensored --- # huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated This is an uncensored version of [google/gemma-4-E2B-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-4-E2B-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. ## GUF [huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated-GGUF](https://huggingface.co/huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated-GGUF) ## ollama Please use the latest version of [ollama](https://github.com/ollama/ollama/releases/) You can use [huihui_ai/gemma-4-abliterated:E2B-qat](https://ollama.com/huihui_ai/gemma-4-abliterated:E2B-qat) directly, ``` ollama run huihui_ai/gemma-4-abliterated:E2B-qat ``` ### 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 optimiza...

Source context: 264 downloads · 5 likes · Pipeline any-to-any · Library transformers · Repo huihui-ai/Huihui-gemma-4-E2B-it-qat-q4_0-unquantized-abliterated