togethercomputer
/

GPT-JT-6B-v1

Text Generation

Inference Endpoints

Model card Files Files and versions Community

juewang commited on Nov 25, 2022

Commit

ab73a1e

•

1 Parent(s): 918e74e

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -80,7 +80,7 @@ widget:
 We present GPT-JT, a fork of GPT-6B, trained for 20,000 steps, that outperforms most 100B+ parameter models at classification, and improves most tasks relative to GPT-J-6B. GPT-JT was trained with a new decentralized algorithm on computers networked on slow 1Gbps links.
 GPT-JT is a bidirectional dense model, trained through UL2 objective with NI, P3, COT, the pile data.
-**Please check out our [Online Demo](https://huggingface.co/spaces/togethercomputer/TOMA-app)!.**
 # Quick Start
 ```python

 We present GPT-JT, a fork of GPT-6B, trained for 20,000 steps, that outperforms most 100B+ parameter models at classification, and improves most tasks relative to GPT-J-6B. GPT-JT was trained with a new decentralized algorithm on computers networked on slow 1Gbps links.
 GPT-JT is a bidirectional dense model, trained through UL2 objective with NI, P3, COT, the pile data.
+**Please check out our [Online Demo](https://huggingface.co/spaces/togethercomputer/GPT-JT)!**
 # Quick Start
 ```python