Local AI · Recipe · 1× DGX Spark

GLM-5.3-Flash EXL3 2.25 bpw with vLLM on 1× DGX Spark

by r0b0tlab

19.5tok/sEveryday

1 request, prose prompt, with DFlash2 (per recipe)

Source: github.com
Intelligence (original model) · Artificial Analysis42with thinkingOriginal model's value. Heavily compressed (~2.3 bit), intelligence is likely much lower.

≤ 3 bit: quantization may cost quality

Engine

Engine
vLLM v0.30.0rc1 @ a00a3544b93e
Quantization
EXL3 2.25 bpw (Drafter EXL3 3.00 bpw)
Model family
GLM-5.3-Flash
Context
32,768
Creator
r0b0tlab
GitHub stars
0
Repo updated
Sep 25, 2026

Measurements

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

No sourced measurements for this recipe.

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Weights
Engine
vLLM v0.30.0rc1 @ a00a3544b93e
Context
32,768 tokens

Notes

What matters before you rebuild it.

  • ≤ 3 bit: quantization may cost qualityAt 3 bit and below the model may answer noticeably worse than the original. The intelligence number refers to the original.
  • Experimental
  • Custom kernel required
  • Non-commercial

Sources

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