Instructions to use 1aihk/gemma-4-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1aihk/gemma-4-31B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="1aihk/gemma-4-31B")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("1aihk/gemma-4-31B") model = AutoModelForMultimodalLM.from_pretrained("1aihk/gemma-4-31B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 1aihk/gemma-4-31B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "1aihk/gemma-4-31B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "1aihk/gemma-4-31B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/1aihk/gemma-4-31B
- SGLang
How to use 1aihk/gemma-4-31B 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 "1aihk/gemma-4-31B" \ --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": "1aihk/gemma-4-31B", "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 "1aihk/gemma-4-31B" \ --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": "1aihk/gemma-4-31B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 1aihk/gemma-4-31B with Docker Model Runner:
docker model run hf.co/1aihk/gemma-4-31B
- Xet hash:
- 0a57a19d7f8430e9bd73af466cca6032f13677bcee640d0a26234eeff1923473
- Size of remote file:
- 49.8 GB
- SHA256:
- 186fa361e76abbb5f48ffb3d9965181a5da33522e39c25eb75d7241da1637aac
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