GGUF
Collection
28 items • Updated • 1
How to use Open4bits/gemma-3-12b-it-GGUF with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-text-to-text", model="Open4bits/gemma-3-12b-it-GGUF")
messages = [
{
"role": "user",
"content": [
{"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
{"type": "text", "text": "What animal is on the candy?"}
]
},
]
pipe(text=messages) # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Open4bits/gemma-3-12b-it-GGUF", dtype="auto")How to use Open4bits/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="Open4bits/gemma-3-12b-it-GGUF", filename="gemma-3-12b-it-q2_k.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"
}
}
]
}
]
)How to use Open4bits/gemma-3-12b-it-GGUF with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Open4bits/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Open4bits/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
# 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 Open4bits/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
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 Open4bits/gemma-3-12b-it-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
docker model run hf.co/Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
How to use Open4bits/gemma-3-12b-it-GGUF with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Open4bits/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": "Open4bits/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"
}
}
]
}
]
}'docker model run hf.co/Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
How to use Open4bits/gemma-3-12b-it-GGUF with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "Open4bits/gemma-3-12b-it-GGUF" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Open4bits/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"
}
}
]
}
]
}'docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "Open4bits/gemma-3-12b-it-GGUF" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Open4bits/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"
}
}
]
}
]
}'How to use Open4bits/gemma-3-12b-it-GGUF with Ollama:
ollama run hf.co/Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
How to use Open4bits/gemma-3-12b-it-GGUF with Unsloth Studio:
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 Open4bits/gemma-3-12b-it-GGUF to start chatting
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 Open4bits/gemma-3-12b-it-GGUF to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Open4bits/gemma-3-12b-it-GGUF to start chatting
How to use Open4bits/gemma-3-12b-it-GGUF with Docker Model Runner:
docker model run hf.co/Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
How to use Open4bits/gemma-3-12b-it-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Open4bits/gemma-3-12b-it-GGUF:Q4_K_M
lemonade run user.gemma-3-12b-it-GGUF-Q4_K_M
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