Local AI · Recipe · 2× DGX Spark

GLM-5.3-Flash NVFP4 (NVIDIA) with vLLM (glm53-sm121-v13) on 2× DGX Spark (vision)

GLM-5.3-Flash NVFP4 (NVIDIA) with vLLM (glm53-sm121-v13) on 2× DGX Spark (vision): 30 tok/s according to github.com (dataset as of Nov 3, 2026).

by sfxnz

30tok/sEveryday

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

Source: github.com

Intelligence (original model) · Artificial Analysis42with thinking

Instructions in the README Repo

Engine: vLLM (Image glm53-sm121-v13, lokal gebaute Kette v8→v13 auf vllm/vllm-openai:glm53-flash-arm64-cu130), TP=2 über RoCE, DFlash2-7 mit Adaptive Verify (tau 0,3), CUDA Graphs
Quantization: Offizielles NVIDIA-ModelOpt-0.47.0-NVFP4 W4A4 (Routed Experts + Dense-MLP, Marlin) @09b04e5e; INT8 W8A16 g128 auf shared/mla/kda_o/kda_in/lm_head; fp8_e4m3 KV (4,14-GiB-Pin); DFlash2-7-Drafter in NVFP4 W4A16
Model family: GLM-5.3-Flash
Context: 327,680
Parameters: 320B MoE / 18B aktiv (lt. README)
Creator: sfxnz
GitHub stars: 21
Repo updated: Oct 16, 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)30 tok/sZelle A (ruler v2): 8 verschiedene kurze Prosa-Prompts (Essays/Geschichten), je 512 erzwungene Tokens, greedy, Thinking off; Mittel aus 3 Boots (F1, F2b, G2); TTFT p50 0,26 s; Akzeptanzlänge 2,21 Source

Decode · parallel requests

Sums over all streams are marked; per request it is correspondingly less.

2 parallel requests39.4 tok/sPeak (decode) · Prosa, 2 Streams aggregiert (Zelle H, 20,69 pro Stream); TTFT p50 0,36 s mit Prefix-Cache-Treffern Source

Prefill by context

32K1,192 tok/sKalt (Unique-Salt-Prompt), Boot G2; 128k: 1190 tok/s, TTFT 109,8 s Source

Time to first token

Shorter is better.

Prompt not stated260 msTTFT p50 Zelle A (Prosa, 1 Anfrage) 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
Basezai-org/GLM-5.3-Flash MIT
Engine: vLLM (Image glm53-sm121-v13, lokal gebaute Kette v8→v13 auf vllm/vllm-openai:glm53-flash-arm64-cu130), TP=2 über RoCE, DFlash2-7 mit Adaptive Verify (tau 0,3), CUDA Graphs
Context: 327,680 tokens

Notes

What matters before you rebuild it.

NC license (draft)
Custom kernel required
vision
tool-calling
Non-commercial

Sources

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Engine

Measurements

Decode · 1 request

Decode · parallel requests

Prefill by context

Time to first token

What you need

Notes

Sources

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GLM-5.3-Flash EXL3 4bpw with TensorFold on 4× DGX Spark

GLM-5.3-Flash EXL3 with TensorFold on 2× DGX Spark (1M context, 4 streams)

GLM-5.3-Flash EXL3 4bpw with TensorFold on 2× DGX Spark

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