This is the Windows app named rwkv.cpp whose latest release can be downloaded as rwkv-master-39ed572-bin-win-avx512-x64.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named rwkv.cpp with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
rwkv.cpp
DESCRIPTION:
Besides the usual FP32, it supports FP16, quantized INT4, INT5 and INT8 inference. This project is focused on CPU, but cuBLAS is also supported. RWKV is a novel large language model architecture, with the largest model in the family having 14B parameters. In contrast to Transformer with O(n^2) attention, RWKV requires only state from the previous step to calculate logits. This makes RWKV very CPU-friendly on large context lengths.
Features
- Windows / Linux / MacOS
- Build the library yourself
- Get an RWKV model
- Requirements: Python 3.x with PyTorch and tokenizers
- ggml moves fast, and can occasionally break compatibility with older file formats
- Requirements: Python 3.x with PyTorch
Programming Language
C++
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rwkv-cpp.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.