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rwkv.cpp download for Linux

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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

Large Language Models (LLM)

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.


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