Instructions to use google/gemma-4-26B-A4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-26B-A4B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="google/gemma-4-26B-A4B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("google/gemma-4-26B-A4B") model = AutoModelForMultimodalLM.from_pretrained("google/gemma-4-26B-A4B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use google/gemma-4-26B-A4B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "google/gemma-4-26B-A4B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-4-26B-A4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/google/gemma-4-26B-A4B
- SGLang
How to use google/gemma-4-26B-A4B 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 "google/gemma-4-26B-A4B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-4-26B-A4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "google/gemma-4-26B-A4B" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-4-26B-A4B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use google/gemma-4-26B-A4B with Docker Model Runner:
docker model run hf.co/google/gemma-4-26B-A4B
Please, release 8B - 12B version
#9
by AlxHQ - opened
It would be nice to be able to run the model on a single 16GB GPU, but the current 26B and 31B models don't fit into a 16GB VRAM, and the lower-end models are much dumber. So why isn't there a middle option?
Hi @AlxHQ
Check this out https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12b/
Feel free to share the feedback . Thanks