Reflection

Beam is now available across platforms, with open weights under the Apache 2.0 license - in collaboration with an ecosystem of 40+ partners.

We're releasing:
- Weights, tokenizer, and reference implementation
- BF16, FP8 and NVFP4 weights and a DFlash2 drafter
- The open source harness we built and trained Beam on: Mirror CLI

Weights and model card on Hugging Face: huggingface.co/reflection

Beam’s model technical report is now available. Read the full report to learn about the methodology our team used to train Beam end-to-end in-house, here: reflection.ai/documents/beam…

Sharing more about how we trained and evaluated Beam, our first model, for safety: reflection.ai/blog/open-mode…

In the coming weeks, we'll release additional safety research, evaluations, and tools under Project Iris, Reflection's open AI safety initiative.

We are committed to prioritizing safety in every model we build—and sharing what we develop and learn so that researchers, developers, policymakers, and enterprises can build on our work, advancing safety across the broader AI ecosystem.

AMA is starting now - the Reflection product team is on r/LocalLLaMA, answering questions about Beam.

Join us here 👇reddit.com/r/LocalLLaMA/s…

Got questions about building with Beam? Join our product team for an AMA on r/LocalLLaMA tomorrow, Tuesday, November 3, from 8-11am PT.

Details below 👇
reddit.com/r/LocalLLaMA/s…