Instructions to use unsloth/gemma-3-12b-it-unsloth-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/gemma-3-12b-it-unsloth-bnb-4bit with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="unsloth/gemma-3-12b-it-unsloth-bnb-4bit")
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 AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("unsloth/gemma-3-12b-it-unsloth-bnb-4bit")
model = AutoModelForMultimodalLM.from_pretrained("unsloth/gemma-3-12b-it-unsloth-bnb-4bit", device_map="auto")
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?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use unsloth/gemma-3-12b-it-unsloth-bnb-4bit with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unsloth/gemma-3-12b-it-unsloth-bnb-4bit"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/gemma-3-12b-it-unsloth-bnb-4bit",
		"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/unsloth/gemma-3-12b-it-unsloth-bnb-4bit

SGLang

How to use unsloth/gemma-3-12b-it-unsloth-bnb-4bit with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "unsloth/gemma-3-12b-it-unsloth-bnb-4bit" \
    --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": "unsloth/gemma-3-12b-it-unsloth-bnb-4bit",
		"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 images

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 "unsloth/gemma-3-12b-it-unsloth-bnb-4bit" \
        --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": "unsloth/gemma-3-12b-it-unsloth-bnb-4bit",
		"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"
						}
					}
				]
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use unsloth/gemma-3-12b-it-unsloth-bnb-4bit with Docker Model Runner:
```
docker model run hf.co/unsloth/gemma-3-12b-it-unsloth-bnb-4bit
```

Update README.md

by AnthropicallyHuggingFaces - opened Nov 16, 2025

base: refs/heads/main

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from: refs/pr/2

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README.md CHANGED Viewed

@@ -1,15 +1,38 @@
 ---
-base_model: google/gemma-3-12b-it
 language:
 - en
 library_name: transformers
-license: gemma
 tags:
 - unsloth
 - transformers
 - gemma3
 - gemma
 - google
 ---
 <div>
   <p style="margin-bottom: 0; margin-top: 0;">

 ---
+base_model:
+- google/gemma-3-12b-it
+- transhumanist-already-exists/C2S-Scale-Gemma-2-27B-age-prediction-fullft
+- baidu/ERNIE-4.5-VL-28B-A3B-Thinking
+- baidu/ERNIE-4.5-VL-424B-A47B-Base-PT
 language:
 - en
 library_name: transformers
 tags:
 - unsloth
 - transformers
 - gemma3
 - gemma
 - google
+- agent
+- code
+datasets:
+- malhajar/OpenOrca-tr
+- thomaswmitch/kalshi-prediction-markets-betting
+- nick007x/github-code-2025
+- jason23322/high-accuracy-email-classifier
+- TeichAI/claude-sonnet-4.5-high-reasoning-250x
+- neulab/agent-data-collection
+- builddotai/Egocentric-10K
+- facebook/omnilingual-asr-corpus
+metrics:
+- accuracy
+- super_glue
+- code_eval
+- perplexity
+- SpfIo/wer_checker
+- berkatil/map
+new_version: facebook/MobileLLM-Pro
+pipeline_tag: fill-mask
 ---
 <div>
   <p style="margin-bottom: 0; margin-top: 0;">