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Hugging Face releases Beam, a 501B parameter open MoE model with 1M context

Hugging Face has released Beam, a 501 billion parameter Mixture-of-Experts (MoE) large language model designed for coding and agentic tasks. Beam boasts a 1 million token context window and features a unique architecture with 52 layers and 256 experts per MoE layer, where 8 experts are routed per token. The model is available under the Apache 2.0 license and supports various checkpoint formats including BF16, FP8, and NVFP4, with native integrations for popular libraries like transformers, vLLM, and SGLang. AI

IMPACT This large open-source model release provides a powerful new option for developers and organizations needing to run frontier-scale AI on their own infrastructure.

RANK_REASON Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Hugging Face Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Hugging Face releases Beam, a 501B parameter open MoE model with 1M context

How we ranked this

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab model release with system card [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Hugging Face Blog TIER_1 English(EN) ·

    Welcome Beam: a 501B open model you can own, customize, and scale