AWS Machine Learning Blog· Aris Tsakpinis·· 15 h ago
Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart
AI summary
Muse Spark Open, Meta's coding-optimized open-weight model, is now available in Amazon SageMaker JumpStart. Deploy it to a SageMaker AI endpoint in your own AWS account using SageMaker Studio or the SageMaker Python SDK, and run your first inference request.
Selection record
Threshold 60Official, first-handFirst 58Second 62
AdmittedSum of both 120 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：介绍Meta开源编码模型在SageMaker部署
- Why it was chosen
- Meta's coding-optimised open-weight model arrives in SageMaker JumpStart, with deployment paths for two quantised variants and their matching instances, giving a basis for estimating self-hosting costs.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com