{"version":1,"type":"story","url":"https://digestai.news/story/meta-releases-muse-spark-open-touted-as-highestperforming-openweights","json":"https://digestai.news/story/meta-releases-muse-spark-open-touted-as-highestperforming-openweights.json","markdown":"https://digestai.news/story/meta-releases-muse-spark-open-touted-as-highestperforming-openweights.md","slug":"meta-releases-muse-spark-open-touted-as-highestperforming-openweights","headline":"Meta releases Muse Spark Open, touted as highest‑performing open‑weights model in US","summary":"Meta announced on Oct. 15, 2026 that it is making a new AI model called Muse Spark Open available for download. ITmedia AI+ reported that the model is being touted as the highest‑performing open‑weights system produced in the United States. The weights are posted on Hugging Face, so anyone can download them and run the model locally on their own hardware.\n\nMuse Spark Open contains 816 billion parameters and uses a Mixture‑of‑Experts (MoE) architecture that activates roughly 42 billion parameters for each query. Reports say the model can read text, images, video and audio but only generates text output. To run it at usable speed, Apple’s verification indicated that two Mac Studio machines equipped with M5 Ultra chips are needed, delivering about 25 tokens per second per pair of units (around 36 tokens per second with four units). Commercial use is permitted under certain conditions, but the model is far beyond the capability of a typical laptop.\n\nThe release highlights a shift toward open‑weight, locally runnable AI, which may appeal to organizations that must keep data on‑premise or want to avoid cloud‑based inference costs.","keyPoints":["Muse Spark Open has 816 billion parameters and uses MoE, activating about 42 billion per query.","Weights are publicly released on Hugging Face, enabling local execution on high‑end hardware.","Running the model requires two Mac Studios with M5 Ultra, achieving ~25 tokens/sec per pair."],"whyItMatters":"Open‑weight, locally runnable models let organizations keep data on‑premise and avoid cloud fees, while the massive size shows the scaling frontier for open AI.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Meta","ITmedia AI+","Apple"],"models":["Muse Spark Open"],"people":[]},"firstPublishedAt":"2026-10-17T03:28:00Z","updatedAt":"2026-10-17T03:28:00Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"note.com","title":"[Meta×AI] What is Muse Spark Open? | For those who only use ChatGPT, a 3-minute guide to AI that runs without the internet","url":"https://note.com/ai_template_lab_/n/n48b0bc8b88a5?hl=en","publishedAt":"2026-10-17T03:28:00Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"Muse Spark Open Expands Across Tech Giants","url":"https://digestai.news/thread/apple-benchmarks-muse-spark-open-on-mac-studio-with-mlx-and-rdma","storyCount":3},"cite":{"text":"Digest AI, \"Meta releases Muse Spark Open, touted as highest‑performing open‑weights model in US\", 17 October 2026, https://digestai.news/story/meta-releases-muse-spark-open-touted-as-highestperforming-openweights","publisher":"Digest AI","title":"Meta releases Muse Spark Open, touted as highest‑performing open‑weights model in US","datePublished":"2026-10-17T03:28:00Z","url":"https://digestai.news/story/meta-releases-muse-spark-open-touted-as-highestperforming-openweights"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}