RWKV 5
Visit ToolRWKV 5 is an open-source language model that combines RNN and Transformer strengths for high LLM performance. It offers linear time, constant space, fast training, and infinite context length.
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RWKV 5 is an open-source language model that combines RNN and Transformer strengths for high LLM performance. It offers linear time, constant space, fast training, and infinite context length.
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About
RWKV 5, pronounced RwaKuv, is an innovative language model that merges the best attributes of Recurrent Neural Networks (RNNs) and Transformers. This unique architecture delivers exceptional Large Language Model (LLM) performance while maintaining linear time complexity and constant space usage, eliminating the need for a KV-cache. It supports fast training and offers an infinite context length, making it highly efficient for various applications. Notably, RWKV 5 is 100% attention-free and provides free text embedding. It is also recognized as a Linux Foundation AI project, emphasizing its open-source nature and community backing. The project offers various tools and resources, including demo models, training frameworks, inference applications for multiple platforms, and PEFT for fine-tuning.
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