Instructions to use mlabonne/gemma-3-27b-it-abliterated-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="mlabonne/gemma-3-27b-it-abliterated-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mlabonne/gemma-3-27b-it-abliterated-GGUF", dtype="auto")

llama-cpp-python

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mlabonne/gemma-3-27b-it-abliterated-GGUF",
	filename="gemma-3-27b-it-abliterated.q2_k.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

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 mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

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 mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mlabonne/gemma-3-27b-it-abliterated-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mlabonne/gemma-3-27b-it-abliterated-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

SGLang

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "mlabonne/gemma-3-27b-it-abliterated-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mlabonne/gemma-3-27b-it-abliterated-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "mlabonne/gemma-3-27b-it-abliterated-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mlabonne/gemma-3-27b-it-abliterated-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Ollama
How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with Ollama:
```
ollama run hf.co/mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M
```

Unsloth Studio

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF 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 mlabonne/gemma-3-27b-it-abliterated-GGUF 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 mlabonne/gemma-3-27b-it-abliterated-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mlabonne/gemma-3-27b-it-abliterated-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with Docker Model Runner:
```
docker model run hf.co/mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M
```

Lemonade

How to use mlabonne/gemma-3-27b-it-abliterated-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mlabonne/gemma-3-27b-it-abliterated-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gemma-3-27b-it-abliterated-GGUF-Q4_K_M

List all available models

lemonade list

Need mmproj file

by deleted - opened Mar 31, 2025

Discussion

deleted

Mar 31, 2025

Hi, thank you for the model.

This needs to support image inputs via LMstudio user interface. For this the problem description I give you from LLM:

LM Studio's Multimodal Requirements:

LM Studio does support multimodal models (text + image), primarily those based on the LLaVA (Large Language and Vision Assistant) architecture or similar architectures compatible with llama.cpp's multimodal features.

For this to work, you typically need two files:

The main LLM GGUF file (e.g., model-q4_k_m.gguf) which has been specifically compiled with multimodal capabilities.

A separate CLIP Vision Encoder/Projector file (often named something like mmproj-<model_type>-f16.gguf or similar). This file processes the image and translates it into embeddings the LLM can understand.

LM Studio needs both files. It usually expects the mmproj file to be in the same directory as the main GGUF model file. When it detects both compatible files, it displays the little "eye" icon next to the model name, indicating vision capabilities are enabled.

deleted

Mar 31, 2025

that file adds support for images via LMstudio and the model then looks like this when searching for it:

mlabonne

Owner Mar 31, 2025

@ngxson Sorry to bother you, but as llama.cpp's multimodal expert, you might be able to help me here. Do you know how I can create this missing file?

ngxson

Mar 31, 2025

@mlabonne if the abliteration only affect the language model, you can simply copy-paste the mmproj file from bartowski's gguf (non-abliterated models), could you give it a try?

mlabonne

Owner Mar 31, 2025

Thanks! I stole bartowski's file and uploaded it here. Let me know if that works for you @notmebug

40-Zab

Apr 1, 2025

It works excellently in LM-Studio.
Thank you very much.

telehan

May 7, 2025

•

edited May 7, 2025

ollama fail to work with configuration in ollama version is 0.6.8
error message

Error: Failed to create new sequence: failed to process inputs: this model is missing data required for image input

FROM ~/Workspace/huggingface/gemma-3-27b-it-abliterated-GGUF/gemma-3-27b-it-abliterated.q8_0.gguf
ADAPTER ~/Workspace/huggingface/gemma-3-27b-it-abliterated-GGUF/mmproj-mlabonne_gemma-3-27b-it-abliterated-f16.gguf

TEMPLATE """{{- range $i, $_ := .Messages }}
{{- $last := eq (len (slice $.Messages $i)) 1 }}
{{- if or (eq .Role "user") (eq .Role "system") }}<start_of_turn>user
{{ .Content }}<end_of_turn>
{{ if $last }}<start_of_turn>model
{{ end }}
{{- else if eq .Role "assistant" }}<start_of_turn>model
{{ .Content }}{{ if not $last }}<end_of_turn>
{{ end }}
{{- end }}
{{- end }}"""


PARAMETER stop <end_of_turn>
PARAMETER temperature 1
PARAMETER top_k 64
PARAMETER top_p 0.95

ngxson

May 8, 2025

ollama does not support llama.cpp's gemma 3 vision model, because ollama has their own gguf specs for that (long story short, they have partnership directly with google so they add the support before llama.cpp have it). unfortunately nothing we can do on our side to fix that.

GWSDSLL

Jul 5, 2025

Thanks! I stole bartowski's file and uploaded it here. Let me know if that works for you @notmebug

Hello, I absolutely adore the AI model you've shared. However, it appears that the MMPROJ files from Bratowski are unable to recognize any images.

3XTron

Aug 13, 2025

•

edited Aug 13, 2025

Works in LM Studio.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

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