Instructions to use TheDrummer/Gemma-3-R1-12B-v1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use TheDrummer/Gemma-3-R1-12B-v1-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 TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Gemma-3-R1-12B-v1-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 TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf TheDrummer/Gemma-3-R1-12B-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-R1-12B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf TheDrummer/Gemma-3-R1-12B-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-R1-12B-v1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use TheDrummer/Gemma-3-R1-12B-v1-GGUF with Ollama:
ollama run hf.co/TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M
- Unsloth Studio
How to use TheDrummer/Gemma-3-R1-12B-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-R1-12B-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-R1-12B-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-R1-12B-v1-GGUF to start chatting
- Docker Model Runner
How to use TheDrummer/Gemma-3-R1-12B-v1-GGUF with Docker Model Runner:
docker model run hf.co/TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M
- Lemonade
How to use TheDrummer/Gemma-3-R1-12B-v1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TheDrummer/Gemma-3-R1-12B-v1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Gemma-3-R1-12B-v1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Join our Discord! https://discord.gg/BeaverAI or our Reddit! https://www.reddit.com/r/BeaverAI/
More than 6000 members strong ๐ช A hub for users and makers alike!
Gemma 3 R1 12B 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 12B reasoning tune that unlocks more capabilities and less positivity! Should be vision capable.
Links
- Original: https://huggingface.co/TheDrummer/Gemma-3-R1-12B-v1
- GGUF: https://huggingface.co/TheDrummer/Gemma-3-R1-12B-v1-GGUF
- iMatrix: https://huggingface.co/bartowski/TheDrummer_Gemma-3-R1-12B-v1-GGUF
- Vision GGUF: https://huggingface.co/bartowski/google_gemma-3-12b-it-GGUF/blob/main/mmproj-google_gemma-3-12b-it-bf16.gguf
gemma-r1/12b/config-v1b
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Hardware compatibility
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