Hugging Face makes Reflection’s 501-billion-parameter open Beam model available
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Hugging Face announced the availability of Beam, Reflection’s first model. The open model uses a mixture-of-experts architecture with 501 billion parameters, 23 billion of them active per token, accepts text, offers a 1-million-token context window and is released under the Apache 2.0 license.
Targeted at coding and agentic applications, Beam supports reasoning that persists across turns and tool calling. Hugging Face says it can run on teams’ own infrastructure or in the cloud, with implementations in Transformers, vLLM and SGLang, as well as a dedicated Rust-based harness. The post also provides recipes for inference, supervised fine-tuning and reinforcement learning. Reflection and Hugging Face will distribute $10,000 in Hub credits to the best projects using the model.
Why it matters · editorial interpretation
Its Apache 2.0 release, tool support and implementations in popular frameworks may make it easier for teams to experiment with a large-scale model for coding and agents on their own infrastructure or in the cloud. The credits offered could also encourage community projects.