vllm-qwen35-optimization

To optimize Qwen3.5 in vLLM, audit PR diffs and apply documented configurations for dense and MoE variants, GDN fusion, FP8/NVFP4 quantization, LoRA, and Eagle3 to ensure reproducible runtime improvements.

Yes, vLLM supports FP8 and NVFP4 quantization for Qwen3.5 dense and MoE variants. You can apply these quantization adjustments alongside GDN fusion and LoRA configurations tracked through landed PR histories.

The best way to track reproducible vLLM optimizations is by enforcing diff-audit discipline using PR histories and landed changes. This dossier-driven approach validates runtime modifications and ensures auditable improvements across deployments.

Yes, you can apply Eagle3 runtime changes and LoRA adjustments together when configuring Qwen3.5 in vLLM. The optimization workflow validates these combined paths against mainline deployments to ensure stability.

GDN fusion improves Qwen3.5 performance in vLLM deployments by optimizing runtime execution paths. Documenting these fusion changes through PR-dossier workflows enables auditable and reproducible inference improvements.

Applying unverified PR diffs to vLLM Qwen3.5 setups risks runtime instability. Enforcing diff-audit discipline and validating changes against mainline vLLM deployments mitigates risk and ensures production-grade requirements are met.