Instructions to use TheDrummer/Gemma-3-R1-27B-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TheDrummer/Gemma-3-R1-27B-v1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="TheDrummer/Gemma-3-R1-27B-v1-GGUF",
	filename="Gemma-3-R1-27B-v1b-Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use TheDrummer/Gemma-3-R1-27B-v1-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf TheDrummer/Gemma-3-R1-27B-v1-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 TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf TheDrummer/Gemma-3-R1-27B-v1-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 TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf TheDrummer/Gemma-3-R1-27B-v1-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 TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use TheDrummer/Gemma-3-R1-27B-v1-GGUF with Ollama:
```
ollama run hf.co/TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M
```

Unsloth Studio new

How to use TheDrummer/Gemma-3-R1-27B-v1-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 TheDrummer/Gemma-3-R1-27B-v1-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 TheDrummer/Gemma-3-R1-27B-v1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for TheDrummer/Gemma-3-R1-27B-v1-GGUF to start chatting

Docker Model Runner
How to use TheDrummer/Gemma-3-R1-27B-v1-GGUF with Docker Model Runner:
```
docker model run hf.co/TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M
```

Lemonade

How to use TheDrummer/Gemma-3-R1-27B-v1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull TheDrummer/Gemma-3-R1-27B-v1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Gemma-3-R1-27B-v1-GGUF-Q4_K_M

List all available models

lemonade list

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Gemma 3 R1 27B v1

Special Thanks

Thank you to each and everyone who donated and subscribed in Patreon and Ko-Fi to make our venture a little bit easier.
Subscribe to my Patreon!

Usage

You'll probably need to prefill <think> at the start of the assistant turn. Since it's not a special token, you can get creative with the reasoning tags with modifications like <evil_think> or <creative_think>.

Description

Gemma 3 27B reasoning tune that unlocks more capabilities and less positivity! Should be vision capable.

As far as RP goes, the model is pretty creative. The writing style is not sloppy. The thinking makes it seem smarter than other 100B+ models that I usually go with. Generation is way faster. I like it very much.