A new pull request in vLLM implements support for per-expert quantized weight loading for the GraniteMoeHybrid model. This enables more efficient inference for MoE architectures in the vLLM runtime.
HOW THIS AFFECTS YOU
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builderYou can now run quantized GraniteMoeHybrid models more efficiently in production inference.
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researcherThis improves the deployment feasibility of quantized Mixture-of-Experts architectures.