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GPT-JT-6B-v1

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juewang commited on Nov 25, 2022

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 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 demo: [TOMA-app](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/TOMA-app)!.**
 # Quick Start
 ```python