Shypd.aiThe largest open index of AI toolsrwkv.cpp is an open-source AI framework that enables efficient CPU-based inference for RWKV language models. It supports various quantization formats like INT4, INT5, INT8, and FP16, along with a C library and Python wrapper.
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rwkv.cpp is an open-source project that ports the BlinkDL/RWKV-LM to ggerganov/ggml, focusing on efficient CPU-based inference for the RWKV language model architecture. Unlike Transformer models, RWKV requires only state from the previous step, making it highly CPU-friendly for large context lengths. The tool supports RWKV v4, v5, v6, and the latest v7 architectures, offering various quantization formats including FP16, INT4, INT5, and INT8. It provides a C library and a convenient Python wrapper, with cuBLAS and hipBLAS support for GPU acceleration where applicable. Developers can use rwkv.cpp to convert PyTorch models, quantize them, and run inference for text generation or chatbot applications, making it a versatile solution for deploying RWKV models.
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