Speculative Decoding
vLLM Recipe: RedHatAI/Qwen3.6-35B-A3B-NVFP4 on DGX Spark
This is a vLLM Recipe - a production-ready Docker Compose configuration for running open-weight models on local hardware. It documents the exact setup, configuration rationale, and benchmark results so you can get a model running quickly. You are welcome to change the parameters to suit your workloads. This worked for me, so I hope you find it helpful.
This recipe covers Qwen3.6-35B-A3B-NVFP4 - a Mixture-of-Experts model with 35B total parameters but only ~3B active at inference - quantized to NVFP4 by Red Hat AI and running on the NVIDIA DGX Spark (my GigaByte AI Top Atom) with a GB10 Blackwell GPU and 128 GB of unified CPU/GPU memory.
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