|
--- |
|
language: |
|
- en |
|
tags: |
|
- pytorch |
|
- text-generation |
|
- causal-lm |
|
- rwkv |
|
license: apache-2.0 |
|
datasets: |
|
- the_pile |
|
|
|
--- |
|
|
|
# RWKV-4 7B |
|
|
|
[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 7B is a L32-D4096 causal language model trained on the Pile. See https://github.com/BlinkDL/RWKV-LM for details. |
|
|
|
Use https://github.com/BlinkDL/ChatRWKV to run it. |
|
|
|
ctx_len = 1024 |
|
n_layer = 32 |
|
n_embd = 4096 |
|
|
|
RWKV-4-Pile-7B-20230109-ctx4096.pth : Fine-tuned to ctx_len 4096. |
|
* Likely the best. Please test. |
|
|
|
################################ |
|
|
|
"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-7B-20230xxx-ctx8192-testxxx : Fine-tuned to ctx_len 8192. |
|
* Slightly weaker than ctx4096 model when ctxlen < 3k. |
|
|
|
RWKV-4-Pile-7B-20221115-8047.pth : Trained on the Pile for 332B tokens. |
|
* Pile loss 1.8415T |
|
* LAMBADA ppl 4.38, acc 67.18% |
|
* PIQA acc 76.06% |
|
* SC2016 acc 73.44% |
|
* Hellaswag acc_norm 65.51% |
|
|
|
### Instruct-test models (OLD): only useful if you construct your prompt following dataset templates |
|
|
|
Note I am using "Q: instruct\n\nA: result" prompt for all instructs. |
|
|
|
RWKV-4-Pile-7B-Instruct-test1 |
|
instruct-tuned on https://huggingface.co./datasets/bigscience/xP3all/viewer/en/train |
|
|
|
RWKV-4-Pile-7B-Instruct-test2 |
|
instruct-tuned on https://huggingface.co./datasets/Muennighoff/flan & NIv2 |
|
|
|
### Chinese models |
|
|
|
RWKV-4-Pile-7B-EngChn-testNovel-xxx for writing Chinese novels (trained on 200G Chinese novels.) |
|
|
