Solutions to system compatibility issues
Environmental compatibility issues that may be encountered when deploying the Tifa-DeepsexV2-7b-MGRPO model can be resolved in the following three ways:
- Using a virtual machine environment: It is recommended to use Docker container deployment to avoid system conflicts caused by direct installation of dependencies. Although the official standard image is not provided, but can be based on Ubuntu 20.04 + system to create a container environment containing CUDA 11.7
- Alternative Program Options: for devices that can't meet the system requirements, use the Ollama framework mentioned in the article or the Android APK version, which is specially optimized for lightweight solutions
- Dependency management skillsWhen pip installs requirements.txt, it is recommended to set up a Python 3.8-3.10 virtual environment and prioritize installing core dependencies such as transformers==4.36.0 and torch==2.1.2.
For Windows users, Linux subsystem support needs to be realized through WSL2. If GPU driver is not compatible, you can downgrade to CUDA 11.7 or use CPU mode to run (need to set device_map='cpu' in from_pretrained)
This answer comes from the articleTifa-DeepsexV2-7b-MGRPO: modeling support for role-playing and complex dialogues, performance beyond 32b (with one-click installer)The
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