rwkv7-1.47B-pile

This is RWKV-7 model under flash-linear attention format.

Model Details

Model Description

Developed by: Bo Peng, Yu Zhang, Songlin Yang, Ruichong Zhang
Funded by: RWKV Project (Under LF AI & Data Foundation)
Model type: RWKV7
Language(s) (NLP): English
License: Apache-2.0
Parameter count: 1.47B
Tokenizer: GPT-NeoX 20B tokenizer

Model Sources

Repository: https://github.com/fla-org/flash-linear-attention ; https://github.com/BlinkDL/RWKV-LM
Paper: https://arxiv.org/abs/2503.14456

Uses

Install flash-linear-attention and the latest version of transformers before using this model:

pip install flash-linear-attention==0.3.0
pip install 'transformers>=4.48.0'

Direct Use

You can use this model just as any other HuggingFace models:

from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('fla-hub/rwkv7-1.47B-pile', trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained('fla-hub/rwkv7-1.47B-pile', trust_remote_code=True)

Training Details

Training Data

This model is trained on the Pile with a total of 332 billion tokens.

Evaluation

Metrics

lambada_openai: ppl 4.80 acc 67.0%

piqa: acc 73.5%

FAQ

Q: safetensors metadata is none.

A: upgrade transformers to >=4.48.0: pip install 'transformers>=4.48.0'

RWKV/RWKV7-Goose-Pile-1.47B-HF