File size: 1,289 Bytes
c9e7121 701052d c9e7121 701052d c9e7121 701052d 3307c7e 701052d e71e020 50b472b 701052d 5abf33a a487cb6 939b685 a487cb6 939b685 a487cb6 1a3be9c a91be67 a3ce566 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: apache-2.0
datasets:
- the_pile
---
# RWKV-4 14B
[UPDATE: Try RWKV-4-World (https://huggingface.co/BlinkDL/rwkv-4-world) for generation & chat & code in 100+ world languages, with great English zero-shot & in-context learning ability too.]
## Model Description
RWKV-4 14B is a L40-D5120 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details.
args.n_layer = 40
args.n_embd = 5120
Use https://github.com/BlinkDL/ChatRWKV to run it.
RWKV-4-Pile-14B-2023xxxx-ctx8192-testxxx.pth : Fine-tuned to ctx_len 8192.
* The best general model.
################################
"Raven": RWKV alpaca+vicuna-style model: https://huggingface.co/BlinkDL/rwkv-4-raven (highly recommended)
It is a strong chat model too. You can use +i for "Alpaca Instruct" in latest ChatRWKV v2. Examples:
```
+i Explain the following metaphor: "Life is like cats".
+i write a python function to read data from an excel file.
```
################################
RWKV-4-Pile-14B-20230213-8019.pth : Trained on the Pile for 331B tokens
* Pile loss 1.7579 (ctx_len 1024)
* LAMBADA ppl 3.81, acc 71.05%
* PIQA acc 77.42%
* SC2016 acc 75.57%
* Hellaswag acc_norm 70.24%
* WinoGrande acc 62.98%
|