Gemma4 E4B Abliterated

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モデル説明

GEMMA 4 E4B ABLITERATED

A ComfyUI-compatible repack of wangzhang's abliterated Gemma 4 E4B weights, formatted as a single safetensors file usable with ComfyUI's standard Load CLIP and TextGenerate nodes.

WHAT THIS IS

This file combines:

- The abliterated language model weights from wangzhang/gemma-4-E4B-it-abliterix

https://huggingface.co/wangzhang/gemma-4-E4B-it-abliterix

- The vision encoder, audio encoder, multimodal projector, and tokenizer components from Comfy-Org/gemma-4 (unmodified)

https://huggingface.co/Comfy-Org/gemma-4

The result is a drop-in replacement for ComfyUI's standard Gemma 4 E4B text encoder file, with the language model behavior of the upstream abliterated weights.

WHAT THIS IS NOT

This is not a new model. The intelligence, capabilities, and modifications were done upstream by Google (base model) and wangzhang (abliteration). This file is a format repack it puts existing modified weights into ComfyUI's expected single-file structure so users can load them with standard nodes.

CREDITS

Base model: Google DeepMind — Gemma 4 E4B IT

https://huggingface.co/google/gemma-4-E4B-it

Abliteration work: wangzhang — Abliterix method

https://huggingface.co/wangzhang/gemma-4-E4B-it-abliterix

ComfyUI integration and reference format: Comfy-Org / Kijai

https://huggingface.co/Comfy-Org/gemma-4

INSTALLATION

Place the .safetensors file in:

ComfyUI/models/text_encoders/

Use with ComfyUI's standard Load CLIP and TextGenerate nodes by selecting this file as the text encoder.

TECHNICAL NOTES

The repack reconstructs Gemma 4's shared-KV layer structure: layers 24-41 share key and value projections with layer 23, requiring tensor cloning during conversion. The k_norm parameters for these shared layers are sourced from the reference Comfy-Org file to maintain compatibility with ComfyUI's loader.

Vision encoder (4 layers, 768 hidden), audio encoder (12 layers), and multimodal projector are bundled unchanged from the reference file. Tokenizer is the standard Gemma 4 tokenizer.

LICENSE

This model is provided under the Gemma Terms of Use:

https://ai.google.dev/gemma/terms

Use of this model is also subject to Google's Gemma Prohibited Use Policy:

https://ai.google.dev/gemma/prohibited_use_policy

By downloading this model, you agree to be bound by these terms. You are responsible for your use of the model and any content it generates.

RESPONSIBLE USE

This is an abliterated model with reduced refusal behavior on the base language model. The vision and audio encoders are unmodified.

The user is responsible for ensuring their use complies with applicable laws and the Gemma Prohibited Use Policy. The author of this repack does not endorse generating content that would violate those terms.

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