Local AI · Recipe · 2× DGX Spark

GLM-5.3-Flash NVFP4 with vLLM on 2× DGX Spark (127k context, with DFlash2)

GLM-5.3-Flash NVFP4 with vLLM on 2× DGX Spark (127k context, with DFlash2): 17.9 tok/s according to github.com (dataset as of Nov 3, 2026).

by r0b0tlab

17.9tok/sEveryday

1 request, prose prompt, with DFlash2

Source: github.com

Intelligence (original model) · Artificial Analysis42with thinking

Instructions in the README Repo

Engine: vLLM 0.28.1rc1.dev580
Quantization: NVFP4 (ModelOpt, offiziell) + BF16 KV
Model family: GLM-5.3-Flash
Context: 126,720
Creator: r0b0tlab
GitHub stars: 3
Repo updated: Sep 11, 2026

Measurements

Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.

Decode · 1 request

Everyday (decode)17.9 tok/sProse mit DFlash2 (AR 14.9); C1 nicht explizit bei prose, aus Kontext der Zeile Source
Peak (decode)33.6 tok/sC1 code prompt mit DFlash2 (AR 15.1); thinking=max; Prompt-Länge nicht angegeben; pooled acceptance 37.7 % (mixed workload), mean accepted length 2.64 Source

What you need

Hardware: 2 × NVIDIA DGX Spark (GB10)
Weights: Main weightsnvidia/GLM-5.3-Flash-NVFP4 MIT
Draft modelincoai/GLM-5.3-Flash-DFlash2 Non-commercial · CC-BY-NC-ND-4.0
Engine: vLLM 0.28.1rc1.dev580
Context: 126,720 tokens

Notes

What matters before you rebuild it.

Custom kernel required
Non-commercial

Sources

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Engine

Measurements

Decode · 1 request

What you need

Notes

Sources

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