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RWKV v5 World 3B

rwkv/rwkv-5-world-3b

Model weights

RWKV(opens in new tab) is an RNN (recurrent neural network) with transformer-level performance. It aims to combine the best of RNNs and transformers - great performance, fast inference, low VRAM, fast training, "infinite" context length, and free sentence embedding.

RWKV-5 is trained on 100+ world languages (70% English, 15% multilang, 15% code).

RWKV 3B models are provided for free, by Recursal.AI, for the beta period. More details here(opens in new tab).

#rnn

Modalities

Context

10K

Released

Dec 10, 2023

Knowledge Cutoff

Jun 2023

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Activity

Token volume and request traffic to this model over time.

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Frequently asked questions

RWKV is an RNN (recurrent neural network) with transformer-level performance. It aims to combine the best of RNNs and transformers - great performance, fast inference, low VRAM, fast training, "infinite" context length, and free sentence embedding. RWKV-5 is trained on 100+ world languages (70% English, 15% multilang, 15% code).

RWKV v5 World 3B has a 10,000 token context window.

RWKV v5 World 3B was released on December 10, 2023. Its knowledge cutoff is June 30, 2023.