Instructions to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF",
	filename="Gemma-4-12B-it-assistant-F16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
llama-cli -hf IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16

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 IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16

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 IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16

Use Docker

docker model run hf.co/IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16

LM Studio
Jan
Ollama
How to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF with Ollama:
```
ollama run hf.co/IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16
```

Unsloth Studio

How to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-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 IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-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 IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF to start chatting

Docker Model Runner
How to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF with Docker Model Runner:
```
docker model run hf.co/IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16
```

Lemonade

How to use IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF:F16

Run and chat with the model

lemonade run user.gemma-4-12B-it-assistant-GGUF-F16

List all available models

lemonade list

FP16 test draft model conversion for google/gemma-4-12B-it

Surprisingly "--spec-draft-n-max 1" looks like the winner but it could be due to a whole slew of factors including a poor draft quantization by me.

Task	Baseline (tok/s)	Draft N=1 (tok/s)	Draft N=2 (tok/s)	Draft N=3 (tok/s)	Draft N=4 (tok/s)
code_python	49.3	51.5	46.5	45.6	50.1
code_cpp	49.2	60.3	55.8	54.6	50.9
explain_concept	49.2	57.1	54.4	49.9	46.8
summarize	48.7	60.8	61.3	62.8	55.9
qa_factual	48.6	59.5	55.9	56.8	55.5
translation	48.8	59.0	53.9	59.2	49.5
creative_short	48.0	52.3	46.0	46.1	41.4
stepwise_math	48.4	57.4	55.4	60.6	49.8
long_code_review	47.7	52.8	53.9	52.0	44.4
Aggregate Avg.	~48.6	~56.5	~53.7	~54.3	~49.5

Downloads last month: 1,384

GGUF

Model size

0.4B params

Architecture

gemma4-assistant

Hardware compatibility

16-bit

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Model tree for IHaveNoClueAndIMustPost/gemma-4-12B-it-assistant-GGUF

Base model

google/gemma-4-12B-it-assistant

Quantized

(12)

this model