Instructions to use cloudnathan5/gemma-4-12B-it-assistant-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cloudnathan5/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="cloudnathan5/gemma-4-12B-it-assistant-GGUF",
	filename="gemma-4-12b-assistant-bf16.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 cloudnathan5/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 cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cloudnathan5/gemma-4-12B-it-assistant-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 cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cloudnathan5/gemma-4-12B-it-assistant-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 cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf cloudnathan5/gemma-4-12B-it-assistant-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 cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M

Use Docker

docker model run hf.co/cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use cloudnathan5/gemma-4-12B-it-assistant-GGUF with Ollama:
```
ollama run hf.co/cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M
```

Unsloth Studio

How to use cloudnathan5/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 cloudnathan5/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 cloudnathan5/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 cloudnathan5/gemma-4-12B-it-assistant-GGUF to start chatting

Docker Model Runner
How to use cloudnathan5/gemma-4-12B-it-assistant-GGUF with Docker Model Runner:
```
docker model run hf.co/cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M
```

Lemonade

How to use cloudnathan5/gemma-4-12B-it-assistant-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cloudnathan5/gemma-4-12B-it-assistant-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gemma-4-12B-it-assistant-GGUF-Q4_K_M

List all available models

lemonade list

Gemma-4-12B-IT-ASSISTANT GGUF

Experimental GGUF quantized versions of the gemma-4-12B-it-assistant from google. This model contains the mtp draft heads and is meant to be used as the speculative decoding model alongside the main model. It's likely not functional (yet?) with llama.cpp but may be useful if you are developing a branch aiming to add gemma-4-12b mtp support.

Available variants

gemma-4-12b-assistant-bf16.gguf - Full BF16 precision
gemma-4-12b-assistant-q4_k_m.gguf - Q4_K_M quantized
gemma-4-12b-assistant-q5_k_m.gguf - Q5_K_M quantized
gemma-4-12b-assistant-q6_k.gguf - Q6_K quantized
gemma-4-12b-assistant-q8_0.gguf - Q8_0 quantized

Downloads last month: 323

GGUF

Model size

0.4B params

Architecture

gemma4

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

16-bit

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Model tree for cloudnathan5/gemma-4-12B-it-assistant-GGUF

Base model

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

Quantized

(13)

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