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Grok-1 is a JAX model offered by xai-org on GitHub, with 314 billion parameters and a MoE (Mixture of Experts) architecture. It is designed for a wide range of AI tasks, supporting advanced features like activation sharing and 8-bit quantitation, although it requires significant GPU resources. Using a SentencePiece tokenizer, this project emphasizes the importance of downloading specific weights for its operation. It is licensed under Apache 2.0, intended to facilitate access for
Grok open release. Contribute to xai-org/grok-1 development by creating an account on GitHub.
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Grok open release. Contribute to xai-org/grok-1 development by creating an account on GitHub.