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Hugging Face announces livestream on how Reflection built Beam
- Who
- Hugging Face
- What
- announced a livestream a discussion with the Reflection team about how they built Beam
What happened
Hugging Face says a livestream with the Reflection team about how they built Beam starts in minutes. Stream: In the quoted announcement, Reflection says Beam is available across platforms with open weights under Apache 2.0, in collaboration with 40+ partners, including a tokenizer, reference implementation, BF16, FP8 and NVFP4 weights, and a DFlash2 drafter.
Links in the post: 2Why it matters
The listed artifacts and Apache 2.0 license provide concrete context for assessing how Beam could fit into an existing model deployment workflow.
The story so far
Reflection launched Beam 1.0, a 501B mixture-of-experts model, making its weights available across platforms under the Apache 2.0 license in collaboration with more than 40 ecosystem partners. Reflection’s announcement lists a tokenizer, reference implementation, BF16, FP8 and NVFP4 weights, a DFlash2 drafter, and Mirror CLI. The Beam 1.0 NVFP4 checkpoint is available on Hugging Face. NVIDIA AI said Beam was trained on NVIDIA GB300 NVL72 and delivers more than 70K tokens per second per GPU on Blackwell Ultra out of the box at launch. Hugging Face also announced a livestream with the Reflection team to discuss how it built Beam.
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