AI-Writer VS RWKV-v2-RNN-Pile

Compare AI-Writer vs RWKV-v2-RNN-Pile and see what are their differences.

AI-Writer

AI 写小说,生成玄幻和言情网文等等。中文预训练生成模型。采用我的 RWKV 模型,类似 GPT-2 。AI写作。RWKV for Chinese novel generation. (by BlinkDL)

RWKV-v2-RNN-Pile

RWKV-v2-RNN trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. (by BlinkDL)
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AI-Writer RWKV-v2-RNN-Pile
2 6
3,106 67
3.6% -
3.4 0.0
over 1 year ago over 2 years ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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AI-Writer

Posts with mentions or reviews of AI-Writer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-10.

RWKV-v2-RNN-Pile

Posts with mentions or reviews of RWKV-v2-RNN-Pile. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-15.

What are some alternatives?

When comparing AI-Writer and RWKV-v2-RNN-Pile you can also consider the following projects:

RWKV-CUDA - The CUDA version of the RWKV language model ( https://github.com/BlinkDL/RWKV-LM )

flash-attention - Fast and memory-efficient exact attention

token-shift-gpt - Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing

RWKV-LM - RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

SmallInitEmb - LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence

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