Instructions to use lmstudio-community/gemma-3-12b-it-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use lmstudio-community/gemma-3-12b-it-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="lmstudio-community/gemma-3-12b-it-GGUF", filename="gemma-3-12b-it-Q3_K_L.gguf", )
llm.create_chat_completion( 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" } } ] } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use lmstudio-community/gemma-3-12b-it-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/gemma-3-12b-it-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 lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/gemma-3-12b-it-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 lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf lmstudio-community/gemma-3-12b-it-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 lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M
Use Docker
docker model run hf.co/lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use lmstudio-community/gemma-3-12b-it-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmstudio-community/gemma-3-12b-it-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": "lmstudio-community/gemma-3-12b-it-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/lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M
- Ollama
How to use lmstudio-community/gemma-3-12b-it-GGUF with Ollama:
ollama run hf.co/lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M
- Unsloth Studio
How to use lmstudio-community/gemma-3-12b-it-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 lmstudio-community/gemma-3-12b-it-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 lmstudio-community/gemma-3-12b-it-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lmstudio-community/gemma-3-12b-it-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use lmstudio-community/gemma-3-12b-it-GGUF with Docker Model Runner:
docker model run hf.co/lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M
- Lemonade
How to use lmstudio-community/gemma-3-12b-it-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lmstudio-community/gemma-3-12b-it-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.gemma-3-12b-it-GGUF-Q4_K_M
List all available models
lemonade list
Fails to load the model in LM Studio
I get the following message:
🥲 Failed to load the model
Error loading model.
(Exit code: 6). Please check settings and try loading the model again.
Double check that you're on the latest runtime by pressing Ctrl + shift + R
Same here and up2date.
same error message. LM studio and runtime is updated
🥲 Failed to load the model
Error loading model.
(Exit code: 18446744072635810000). Unknown error. Try a different model and/or config.
That's very odd..
What version of lmstudio are you running?
V 0.3.14
Vulkan llama.cpp (Windows)
v1.25.2
Engine
Vulkan accelerated llama.cpp engine
Latest Version Installed
CPU llama.cpp (Windows)
v1.25.2
Engine
CPU-only llama.cpp engine
Latest Version Installed
Encountered the same error. Resolved that by reducing the context size.
Same error, had just updated the runtimes and the entire LM Studio app. Can't load the model.
🥲 Failed to load the model
Failed to load model
Error when loading model: ValueError: Model type gemma3n not supported.
I have LM Studio Metal llama.cpp v.1.38.0 and LM Studio MLX v0.19.7 installed and LM Studio Version 0.3.18 (0.3.18).
[Never mind my comment, turns out I had downloaded the MLX version of the model by accident. It doesn't work, but GGUF does.]