100 billion parameters? YaLM 100B is a neural network for generating and processing text

• Alternatively, you can build docker image from source using (which will just build docker image from ). YaLM 100B is a GPT-like neural network for generating and processing text. The model leverages 100 billion parameters. The model is published under the Apache 2.0 license that permits both research and commercial use, Megatron-LM is licensed under the Megatron-LM license. No input is used, output will be jsonlines. It can be used freely by developers and researchers from all over the world. • We published image on Docker Hub, it can be pulled with . • By default, weights will be downloaded to , and vocabulary will be downloaded to . (). Continue reading.

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