Instructions to use NobodyWho/Google_Gemma4-12B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use NobodyWho/Google_Gemma4-12B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NobodyWho/Google_Gemma4-12B-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 NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf NobodyWho/Google_Gemma4-12B-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 NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use NobodyWho/Google_Gemma4-12B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NobodyWho/Google_Gemma4-12B-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": "NobodyWho/Google_Gemma4-12B-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/NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Ollama
How to use NobodyWho/Google_Gemma4-12B-GGUF with Ollama:
```
ollama run hf.co/NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M
```
Unsloth Desktop

How to use NobodyWho/Google_Gemma4-12B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use NobodyWho/Google_Gemma4-12B-GGUF with Docker Model Runner:
```
docker model run hf.co/NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M
```

Lemonade

How to use NobodyWho/Google_Gemma4-12B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Google_Gemma4-12B-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use NobodyWho/Google_Gemma4-12B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

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 NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use NobodyWho/Google_Gemma4-12B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "NobodyWho/Google_Gemma4-12B-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Google_Gemma4-12B-GGUF / README.md

AsbjornOlling

Update README.md

b5fbdb5 verified about 2 months ago

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metadata

license: apache-2.0
base_model: google/gemma-4-12B
tags:
  - gguf
  - nobodywho
  - tool-calling
  - vision
  - gemma
pipeline_tag: image-text-to-text
library_name: gguf

NobodyWho/Google_Gemma4-12B-GGUF

Overview

GGUF quantization of Google's Gemma 4 12B (Unified) model, re-hosted for NobodyWho. The unsloth build already ships a tool-calling setup and recommended sampling metadata (general.sampling: temp 1.0, top_k 64, top_p 0.95), so nothing needs patching — the model is verified with NobodyWho's test suite. The 12B Unified variant is the laptop-class Gemma 4 — stronger reasoning and multimodal capability than the edge (E2B/E4B) models while staying well below the larger MoE/dense variants in memory. Multimodal (text + image), multilingual, Apache 2.0.

Model Capabilities

Text generation — instruction-following chat, stronger reasoning
Tool calling — native function calling with grammar-constrained output
Vision — ⚠️ the 12B mmproj (vision + audio encoder) currently fails to load in NobodyWho (llama.cpp MTMD/CLIP init error); needs a newer llama.cpp. Text + tool calling are unaffected. For vision today, use Gemma 4 E2B/E4B (verified working)
Long context — 256k tokens
Multilingual — 140+ languages

Available Quantizations

File	Approach	Tool-calling tests
`gemma-4-12b-it-BF16.gguf`	Sampling embedded upstream	not separately run
`gemma-4-12b-it-Q8_0.gguf`	Sampling embedded upstream	14/14
`gemma-4-12b-it-Q4_K_M.gguf`	Sampling embedded upstream	14/14
`mmproj-BF16.gguf`	Vision projection	—

Quick Start

Using the NobodyWho library:

from nobodywho import Chat

chat = Chat("huggingface:NobodyWho/Google_Gemma4-12B-GGUF/gemma-4-12b-it-Q4_K_M.gguf")
response = chat.ask("What is the capital of Denmark?").completed()
print(response)  # The capital of Denmark is Copenhagen.

Vision

from nobodywho import Model, Chat, Prompt, Image, Text

model = Model(
    "huggingface:NobodyWho/Google_Gemma4-12B-GGUF/gemma-4-12b-it-Q4_K_M.gguf",
    projection_model_path="huggingface:NobodyWho/Google_Gemma4-12B-GGUF/mmproj-BF16.gguf",
)
chat = Chat(model=model, system_prompt="You are a helpful assistant.")
response = chat.ask(Prompt([
    Text("What is in this image?"),
    Image("./photo.png"),
])).completed()
print(response)

Model Specifications

Parameters: 12B (Unified)
Context length: 262,144 tokens (256K)
License: Apache 2.0
Base model: google/gemma-4-12B
Architecture: gemma4 (vision-capable)

Licensing / Credits

Licensed under Apache 2.0 (unchanged from upstream). All model credit belongs to Google DeepMind. GGUF quantizations provided by unsloth.