Professional Deployment Program
The following technical requirements need to be met for the model to run: for hardware, the minimum configuration is an NVIDIA T4 graphics card (16GB video memory), and RTX 3090 and above are recommended for optimal performance; the software environment requires Python 3.9+ and Transformer version 4.40.0 or above. With GGUF quantization technology, the model's disk footprint is kept at 4.8GB and the memory requirement is reduced to 12GB, allowing it to run smoothly even on consumer-grade devices.
The deployment process consists of key steps: 1) use HuggingFace CLI to download the complete model file and lexicon; 2) adopt FlashAttention-2 to accelerate the inference process; 3) recommend matching with vLLM framework to realize high concurrency service. For different application scenarios, the official provides Android APK, SillyTavern integration package and Ollama container three kinds of standardized deployment options, of which the Ollama solution supports local 18token/s generation speed on Mac M series chips.
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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