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Introducing Beam: Reflection’s 501B open-weight model
Reflection introduces Beam, its first open-weight model: a sparse Mixture-of-Experts with 501 billion total and 23 billion active parameters, pretrained on 23.8 trillion tokens and trained with large-scale reinforcement learning for coding and agentic work, with Apache 2.0 weights, a technical report, and a model card promised later this month.
12 min · 2,858 words