MODEL PROFILE

rwkv-4-pile-3b

BlinkDL · rwkv-4-pile-3b

RWKV-4 3B is a L32-D2560 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. RWKV-4-Pile-3B-20221110-ctx4096.pth (RECOMMENDED) : Fine-tuned to ctx_len 4096. * LAMBADA ppl 5.25, acc 63.96% * PIQA acc 74.16% * SC2016 acc 70.71% * Hellaswag acc_norm 59.89% * ctx_len = 4096 n_layer = 32 n_embd = 2560 RWKV-4-Pile-3B-20221008-8023.pth : Trained on the Pile for 331B tokens. * Pile loss 1.9469 * LAMBADA ppl 5.24, acc 63.94% * PIQA acc 73.72% * SC2016 acc 70.28% * Hellaswag acc_norm 59.63% * ctx_len = 1024 n_layer = 32 n_embd = 2560

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:15:43
OVERVIEW

Model overview

RWKV-4 3B is a L32-D2560 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. RWKV-4-Pile-3B-20221110-ctx4096.pth (RECOMMENDED) : Fine-tuned to ctx_len 4096. * LAMBADA ppl 5.25, acc 63.96% * PIQA acc 74.16% * SC2016 acc 70.71% * Hellaswag acc_norm 59.89% * ctx_len = 4096 n_layer = 32 n_embd = 2560 RWKV-4-Pile-3B-20221008-8023.pth : Trained on the Pile for 331B tokens. * Pile loss 1.9469 * LAMBADA ppl 5.24, acc 63.94% * PIQA acc 73.72% * SC2016 acc 70.28% * Hellaswag acc_norm 59.63% * ctx_len = 1024 n_layer = 32 n_embd = 2560

Key features

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Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。