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vLLM publishes NVIDIA and AMD images to serve Muse Spark Open

AISummary

vLLM says users can run Muse Spark Open using NVIDIA and AMD container images, with a recipe and model link provided. The accompanying diagram shows the base model and DSpark model feeding one deployment recipe, which selects hardware-specific flags.

The image lists a parser of muse, a maximum context of 1,048,576 tokens, and BF16 and NVFP4 versions, and notes that public availability should be confirmed at launch.

AIWhy it matters

The post gives the NVIDIA and AMD container images, recipe, and model links needed to deploy Muse Spark Open with vLLM, which is the practical step for serving it.

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Part of a thread · earlier post

Get started with Muse Spark Open:

NVIDIA: vllm/vllm-openai:muse-spark-open
AMD: vllm/vllm-openai-rocm:muse-spark-open

Recipe:
https://recipes.vllm.ai/meta-models/Muse-Spark-Open-816B-A42B

Model:
https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B

Technical deep dive:
https://vllm.ai/blog/2026-10-15-muse-spark-open

Thanks to everyone involved for the great collaboration! 🤝

6/6

Source: vLLM · x.comPublished · added here