The following preparations need to be completed before deploying Step3:
- Code to get:Fetch the source code from the GitHub repository (https://github.com/stepfun-ai/Step3.git) with the git clone command
- Python environment:Recommended Python 3.10+ with PyTorch (≥2.1.0) and Transformers library (recommended version 4.54.0) installed
- Model weights:Download weights files in bf16 or block-fp8 format from the Hugging Face platform (https://huggingface.co/stepfun-ai/step3)
- Hardware Requirements:Best practice is to have 4 A800/H800 GPUs with 80GB of RAM, but a single GPU can also run
The environment configuration creates an isolated environment via conda and installs the specified version of the deep learning framework. Full deployment instructions are detailed in the project documentation.
This answer comes from the articleStep3: Efficient generation of open source big models for multimodal contentThe
May not be reproduced without permission:AI productivity tools " What prep and environment configuration is required to deploy Step3?
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