Reflection AI open-sources Beam: 500B-parameter model trained in 2 months with near-zero downtime
dl_weekly · x · 2026-10-25
Reflection AI has released the weights of Beam, its first LLM, on Hugging Face, along with training recipes and code templates.
- Scale and performance: 500B parameters, approaching models 4x its size on some benchmarks while using significantly less compute and memory.
- Training engineering: trained over two months on several thousand GPUs with practically zero cluster downtime, using custom reliability algorithms focused on avoiding train-inference mismatches and an automated system that rolls back and resumes on data quality errors instead of restarting.
- Release format: a standard edition plus multiple quantized variants trading some quality for hardware efficiency; weights ship with post-training recipes for customization.
One of the most advanced open-source LLMs available, and the published engineering details are valuable for large-scale training teams.
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