readme: ---
  language:
  - en
  tags:
  - pytorch
  - text-generation
  - causal-lm
  - rwkv
  license: apache-2.0
  datasets:
  - the_pile
  
  ---
  
  # RWKV-4 430M
  
  ## Model Description
  
  RWKV-4 430M is a L24-D1024 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
  
  ** Note: It's a BF16 model, and it may overflow if you are using FP16 (probably fixable by rescaling the weights). **
  
  At this moment you have to use my Github code (https://github.com/BlinkDL/RWKV-LM) to run it.
  
  ctx_len = 1024
  n_layer = 24
  n_embd = 1024
  
  Final checkpoint:
  RWKV-4-Pile-430M-20220808-8066.pth : Trained on the Pile for 333B tokens.
  * Pile loss 2.2621
  * LAMBADA ppl 13.04, acc 45.16%
  * PIQA acc 67.52%
  * SC2016 acc 63.87%
  * Hellaswag acc_norm 40.90%
  
  ## Warning: 4 / 4a / 4b models ARE NOT compatible!!! Use RWKV-4 unless you know what you are doing.
  
  With tiny attention (--tiny_att_dim 512 --tiny_att_layer 18):
  RWKV-4a-Pile-433M-20221223-8039.pth
  * Pile loss 2.2394
  * LAMBADA ppl 10.54, acc 50.20%
  * PIQA acc 68.12%
  * SC2016 acc 63.55%
  * Hellaswag acc_norm 40.82%
  