I created a simple implementation of the RWKV language model (RWKV competes with the dominant Transformers-based approach which is the "T" in GPT)

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  • smolrsrwkv

    A relatively basic implementation of RWKV in Rust written by someone with very little math and ML knowledge. Supports 32, 8 and 4 bit evaluation. It can also directly load PyTorch RWKV models.

  • It can now quantize to 8bit for 4x memory savings: https://github.com/KerfuffleV2/smolrsrwkv/tree/experiment-quantize

  • ChatRWKV

    ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

  • This is a simple Rust implementation of RWKV. Most LLMs use Transformers (i.e. ChatGPT, etc). The creator of the RWKV approach claims it has benefits: https://github.com/BlinkDL/ChatRWKV

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