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Muse Glimmer

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Headlines · 2

  1. Meta releases Muse Spark Open, an 816B open-weight multimodal coding model

    Meta released Muse Spark Open, an open-weight mixture-of-experts model with roughly 816 billion total parameters and about 42 billion active per token, accepting text, images, audio and video with a context window of up to one million tokens. Meta says it is built for agentic coding and long-horizon tasks and calls it “the most capable US open-weight model to date,” adding that its own benchmarks show it beating GLM-5.3 and Kimi K3 on agentic and visual-reasoning tasks. Weights are available on Hugging Face, with day-one hosting from Together AI and Modal, while Bloomberg reports Meta kept its most advanced models closed.

    Hugging Face · 🔥 153
  2. vLLM ships day-0 support for Meta's Muse Spark Open 816B open-weight MoE model

    vLLM said it worked with Meta Superintelligence Labs to bring day-0 serving support to Muse Spark Open, an open-weight sparse mixture-of-experts model. According to the vLLM blog, the model has 816B total parameters with 42B active per token and a 1M-token context window, ships in BF16 and NVFP4 (AMD released MXFP4 weights), and handles image, video and audio input through the same Perception Encoder used by Muse Glimmer. vLLM also offers a DSpark speculative-decoding draft model trained by Inferact, support on NVIDIA, AMD Instinct MI355X and TPU, and a LoRA reinforcement-learning recipe that lifted AIME-2024 (mean@8) from 0.56 to 0.85 after 150 GRPO steps on 16 GB300 GPUs.

    vLLM Blog · 🔥 3

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