ModelsSelected

vLLM Ships Day-0 Support for Sage-A1.5

Why we picked it

Day-0 support means the model can be self-hosted on existing vLLM infrastructure immediately, without waiting for community integrations. With only 3B active parameters, it targets teams running agentic workloads on modest local hardware who want an alternative to larger dense models. Developers comparing open-source MoE options for on-premise serving should evaluate its throughput against Qwen and DeepSeek MoE checkpoints.

vLLM announced day-0 support for Sage-A1.5, a 35B-parameter MoE model with 3B active parameters from Shanghai AI Lab. Users can deploy it locally with the command "vllm serve InternScience/Sage-A1.5". The model is positioned for agentic intelligence workloads that can be self-hosted from launch day.

Original · vLLM

🚀 Day-0 vLLM support for Sage-A1.5 (35B MoE, 3B active) from Shanghai AI Lab — agentic intelligence you can serve locally today:

vllm serve InternScience/Sage-A1.5

Congrats @sageai_official ! 🔥