---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: apache-2.0
datasets:
- the_pile

---

# RWKV-4 3B

## Model Description

RWKV-4 3B is a L32-D2560 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.

New checkpoint: RWKV-4-Pile-3B-20221110-ctx4096.pth : 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

Final checkpoint: 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