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Local AI · Recipe · 1× DGX Spark

GLM-5.3-Flash 320B-A18B EXL3 3.05 bpw with SGLang on 1× DGX Spark

GLM-5.3-Flash 320B-A18B EXL3 3.05 bpw with SGLang on 1× DGX Spark: 10.8 tok/s according to huggingface.co (dataset as of Nov 3, 2026).

by 0xSero

10.8tok/sPeak

1 request, best value reported by source

Source: huggingface.co
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

Instructions in the README Repo

Engine

Engine
SGLang
Quantization
EXL3 mixed: 12 Layer 3.05 bpw + 33 Layer 2.05 bpw (mul1), fp8 KV
Model family
GLM-5.3-Flash
Context
262,144
Parameters
320B MoE / 18B active, 288 routed experts
Creator
0xSero
GitHub stars
3
Repo updated
Sep 19, 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

  • Peak (decode)10.8 tok/scontext 990–236,510 Token · Ohne MTP; mean, 10.61–10.94 Source 

Prefill by context

  • 990–236,510 Token504 tok/sMarginale Fit-Rate, r² 0.9999 Source 

What you need

Hardware
1 × NVIDIA DGX Spark (GB10)
Engine
SGLang
Context
262,144 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.

Sources

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Details

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