The following steps are required to install and deploy Step3:
- Cloning GitHub repositories:
git clone https://github.com/stepfun-ai/Step3.git - Setup Python environment (Python 3.10+ recommended), install PyTorch (≥2.1.0) and Transformers library (4.54.0)
- Download model weights from Hugging Face:
git clone https://huggingface.co/stepfun-ai/step3 - deployment model, it is recommended to use vLLM or SGLang inference engine. For example, use vLLM to start the service:
python -m vllm.entrypoints.api_server --model stepfun-ai/step3 --port 8000
Deployment in a multi-GPU environment (e.g., 4 A800/H800 GPUs with 80GB of video memory each) is recommended for optimal performance.
This answer comes from the articleStep3: Efficient generation of open source big models for multimodal contentThe
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