library_name: transformers.js
base_model:

• huihui-ai/Huihui-gemma-4-E2B-it-abliterated
  pipeline_tag: image-text-to-text
  tags:
• abliterated
• uncensored
• gemma4
• onnx
• webgpu
  license: apache-2.0

Huihui-gemma-4-E2B-it-abliterated (ONNX)

ONNX export of huihui-ai/Huihui-gemma-4-E2B-it-abliterated
(uncensored / abliterated version of google/gemma-4-E2B-it) for use with
Transformers.js in the browser via WebGPU.

Live demo: kermelp/Huihui-gemma4-abliterated-webgpu

Usage with Transformers.js

import { AutoProcessor, Gemma4ForConditionalGeneration, TextStreamer } from "@huggingface/transformers";

const model_id = "kermelp/Huihui-gemma-4-E2B-it-abliterated-ONNX";
const processor = await AutoProcessor.from_pretrained(model_id);
const model = await Gemma4ForConditionalGeneration.from_pretrained(model_id, {
  dtype: "q4f16",
  device: "webgpu",
});

const messages = [
  {
    role: "user",
    content: [{ type: "image" }, { type: "text", text: "Describe this image." }],
  },
];
const prompt = processor.apply_chat_template(messages, {
  enable_thinking: false,
  add_generation_prompt: true,
});

Conversion

Converted from bf16 safetensors with optimum-cli export onnx --task image-text-to-text,
then quantized to 4-bit weights + fp16 activations (q4f16) with onnxruntime MatMulNBitsQuantizer.

⚠️ This model has had its refusal behavior removed via abliteration. It will answer
prompts the original Gemma 4 refuses. For research and evaluation only.