This is the Windows app named RWKV whose latest release can be downloaded as RWKV-v5sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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RWKV
DESCRIPTION
RWKV-LM is the main research and training repository for the RWKV language model architecture. It presents RWKV as an attention-free RNN-style model that aims to reach transformer-level language model performance. The project is built around the idea that a model can be trained in a parallelizable way like a GPT-style transformer while running inference with recurrent efficiency. This gives RWKV important advantages for long-context use, including lower memory pressure and no traditional key-value cache requirement. The repository includes training code, model notes, research material, and references to current RWKV weights. Its main value is providing the foundation for experimenting with efficient large language models that combine transformer-like scalability with RNN-like runtime behavior.
Features
- Attention-free RWKV architecture
- Parallelizable GPT-style training
- RNN-style efficient inference
- Linear-time sequence processing
- Constant-space inference behavior
- Training code and model research notes
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rwkv.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
