Local AI · Recipe · 1× DGX Spark

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

GLM-5.3-Flash 320B-A18B EXL3 with vLLM on 1× DGX Spark: 17.3 tok/s according to github.com (dataset as of Nov 3, 2026).

17.3tok/sMixed

1 request, mixed prompt set, context 64k, with MTP

Intelligence (original model) · Artificial Analysis42with thinkingOriginal model's value. Heavily compressed (~2.4 bit), intelligence is likely much lower.

≤ 3 bit: quantization may cost quality

Instructions in the README Repo

Engine: vLLM
Quantization: EXL3 K2 (2-bit MCG, nur routed Experten), FP8 KV
Model family: GLM-5.3-Flash
Context: 262,144
Parameters: 320B MoE / 18B active (lt. glm53-nvfp4-Repo)
Creator: vcruz305
GitHub stars: 27
Repo updated: Sep 22, 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

Mixed (decode)17.3 tok/scontext 64K · Mittel 4 Workloads, MTP k=2 Source
Peak (decode)26.2 tok/scontext 64K · Structured, MTP k=4 Source

Prefill by context

163K590 tok/sNeedle-Ladder Source

What you need

Hardware: 1 × NVIDIA DGX Spark (GB10)
Weights: Main weightsvcruz305/GLM-5.3-Flash-EXL3-K2 MIT
othervcruz305/GLM-5.3-Flash-EXL3-K2-spark-vllm MIT
Basezai-org/GLM-5.3-Flash-BF16 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.
Hangs at long context
Custom kernel required

Sources

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Engine

Measurements

Decode · 1 request

Prefill by context

What you need

Notes

Sources

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