Instructions to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS",
	filename="trevor-IQ3_XXS.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS
# Run inference directly in the terminal:
llama-cli -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS
# Run inference directly in the terminal:
llama-cli -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS
# Run inference directly in the terminal:
./llama-cli -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Use Docker

docker model run hf.co/doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

LM Studio
Jan
Ollama
How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with Ollama:
```
ollama run hf.co/doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS
```

Unsloth Studio

How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS to start chatting

How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with Docker Model Runner:
```
docker model run hf.co/doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS
```

Lemonade

How to use doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS:IQ3_XXS

Run and chat with the model

lemonade run user.gemma-4-26B-A4B-it-uncensored-IQ3_XXS-IQ3_XXS

List all available models

lemonade list

gemma-4-26B-A4B-it-uncensored-IQ3_XXS

IQ3_XXS quant of TrevorJS/gemma-4-26B-A4B-it-uncensored — the first IQ3_XXS of this model on HF.

what is this

gemma 4 26B MoE (25B total, 4B active per token), abliterated via biprojection + Expert-Granular Abliteration (EGA). quantized to IQ3_XXS using an importance matrix generated from the Q4_K_M version.

confirmed uncensored. confirmed coherent. 50-80 tps on RX 6900 XT.

quant details

source: F16 (TrevorJS)
imatrix source: Q4_K_M (CPU inference, 100 chunks)
calibration data: linux kernel, nixpkgs, cpython, rust stdlib, flask, fastapi, SCP foundation, wikitext-2, GPTeacher, ZenOS, ZenPkgs
quantized with: llama.cpp

hardware requirements

fits in 16GB VRAM
tested on RX 6900 XT (ROCm)

recommended server args

HIP_VISIBLE_DEVICES=0 llama-server \
  -m gemma-4-26B-A4B-it-uncensored-IQ3_XXS.gguf \
  -c 32768 \
  -ngl 99 \
  -np 1 \
  -fa on \
  -ctk q4_0 \
  -ctv q4_0 \
  --host 0.0.0.0

license

model weights: Apache 2.0 (inherited from Google/TrevorJS) quant methodology & imatrix: NAPALM v2.0 — any state entity attempting to use this model has void title ab initio

credits

abliteration: TrevorJS
base model: google/gemma-4-26B-A4B-it
quant: doromiert / Negative Zero

Downloads last month: 676

GGUF

Model size

25B params

Architecture

gemma4

Hardware compatibility

3-bit

Inference Providers NEW

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Model tree for doromiert/gemma-4-26B-A4B-it-uncensored-IQ3_XXS

Base model

google/gemma-4-26B-A4B

Finetuned

google/gemma-4-26B-A4B-it

Finetuned

TrevorJS/gemma-4-26B-A4B-it-uncensored

Quantized

(17)

this model

doromiert
/

gemma-4-26B-A4B-it-uncensored-IQ3_XXS