Hugging Face Unveils Beam, a 501B Open-Weight Model
Hugging Face announced Beam, a 501-billion-parameter open-weight model that users can own, customize, and scale. The model is positioned as a major addition to the open-source AI ecosystem, emphasizing user control and flexibility.
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Reflection AI unveils open-weight model Beam, claims lower compute and near-Qwen3.8-Max performance
Reflection AI, backed by Nvidia, has unveiled its first open-weight model, Beam, claiming it excels at coding and agentic tasks while using 3x-4x less compute than comparable models. The company says Beam's reasoning performance nears Qwen3.8-Max and rivals GLM-5.2 at lower inference compute, with weights expected to be released this month.
2 reports · 2 sources
StepFun Releases Step-5-Preview, a 604B-Parameter Open-Weight LLM
StepFun has released Step-5-Preview, a 604B-parameter open-weight large language model, on Hugging Face. The model is available under the stepfun-ai/Step-5-Preview repository, updated 35 minutes ago.
Meta releases Muse Spark Open, an 816B-parameter open-weight multimodal model
Meta released Muse Spark Open, an open-weight multimodal mixture-of-experts model with 816B total and 42B active parameters and a 1M-token context window, optimized for Apple silicon and claimable to run on two Mac Studios. The model targets code and agentic tasks, with day-0 support from vLLM and other inference engines, and marks a collaboration between Meta and Apple.
5 reports · 5 sources
Liquid AI releases LFM2.5-24B-A2B, an open-weight 24B reasoning model with 2B active parameters
Liquid AI announced LFM2.5-24B-A2B, an open-weight 24B reasoning model with 2B active parameters, designed for fast, private on-device agents. The company claims it outperforms Qwen3.6-35B-A3B on the LiveClaw benchmark.
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