Instructions to use ReadyArt/gemma-4-31B-it-scotoma-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ReadyArt/gemma-4-31B-it-scotoma-2 with Transformers:

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

pipe = pipeline("text-generation", model="ReadyArt/gemma-4-31B-it-scotoma-2")
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("ReadyArt/gemma-4-31B-it-scotoma-2")
model = AutoModelForMultimodalLM.from_pretrained("ReadyArt/gemma-4-31B-it-scotoma-2", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ReadyArt/gemma-4-31B-it-scotoma-2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ReadyArt/gemma-4-31B-it-scotoma-2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ReadyArt/gemma-4-31B-it-scotoma-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ReadyArt/gemma-4-31B-it-scotoma-2

SGLang

How to use ReadyArt/gemma-4-31B-it-scotoma-2 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 "ReadyArt/gemma-4-31B-it-scotoma-2" \
    --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": "ReadyArt/gemma-4-31B-it-scotoma-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "ReadyArt/gemma-4-31B-it-scotoma-2" \
        --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": "ReadyArt/gemma-4-31B-it-scotoma-2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ReadyArt/gemma-4-31B-it-scotoma-2 with Docker Model Runner:
```
docker model run hf.co/ReadyArt/gemma-4-31B-it-scotoma-2
```

Will we ever get a 12b or 26b version for those of us with 12-16gb vram?

by DontPutFishInIt - opened 11 days ago

Discussion

DontPutFishInIt

11 days ago

I can't quite run the 31b on my hardware at reasonable speeds

dr-housemd

11 days ago

those of us with 16gb vram can use a Q3 version of this

AesSedai

Ready.Art org 11 days ago

I've had a few people ask about the 26B-A4B version, but currently I'm not planning on it. That's not a "no" forever, just that I've got other projects and this was an experiment to begin with :)

DontPutFishInIt

8 days ago

Even the q3 gives me 30+ seconds TTFT even on low context

jaithree

4 days ago

This isn't just improving gemma, it's really improving gemma ;) Thank you, the gemma-isms kind of drive you mad after a while. 🙏 Also, fwiw, i like the 26b too over the the 31b, even though i have the room.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment