Local AI · Recipe · 1× DGX Spark

GLM-5.3-Flash 320B-A18B EXL3 2.0 bpw with vLLM on 1× DGX Spark

GLM-5.3-Flash 320B-A18B EXL3 2.0 bpw with vLLM on 1× DGX Spark: 18.9 tok/s according to github.com (dataset as of Nov 3, 2026).

by 0xSero

18.9tok/sPeak

1 request, best value reported by source, context 4k

Source: github.com

Intelligence (original model) · Artificial Analysis42with thinkingOriginal model's value. Heavily compressed (~2 bit), intelligence is likely much lower.

≤ 3 bit: quantization may cost quality

Instructions in the README Repo

Engine: vLLM
Quantization: EXL3 K2 2.0 bpw (codebook mcg) routed experts, fp8_ds_mla KV
Model family: GLM-5.3-Flash
Context: 262,144
Parameters: 320B MoE / 18B active (A18B), 288 routed experts
Creator: 0xSero
GitHub stars: 8
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.

Decode · 1 request

Peak (decode)18.9 tok/scontext 4K · Sampling on, thinking on, MTP depth 2 Source

Prefill by context

4K571 tok/s Source

Time to first token

Shorter is better.

Prompt not stated7,360 mscontext 4K Source

What you need

Hardware: 1 × NVIDIA DGX Spark (GB10)
Weights: Main weights0xSero/GLM-5.3-Flash-EXL3-TR3-2.0bpw MIT
Basezai-org/GLM-5.3-Flash MIT
Engine: vLLM
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.
Forked runtime
Custom kernel required

Sources

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Engine

Measurements

Decode · 1 request

Prefill by context

Time to first token

What you need

Notes

Sources

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