Local AI · Recipe · 4× RTX PRO 6000

GLM-5.3-Flash NVFP4 with vLLM on 4× RTX PRO 6000 (with DFlash2)

GLM-5.3-Flash NVFP4 with vLLM on 4× RTX PRO 6000 (with DFlash2): 199 tok/s according to github.com (dataset as of Nov 3, 2026).

by jcartu

199tok/sMixed

1 request, mixed prompt set, with DFlash2 (per recipe)

Source: github.com

Intelligence (original model) · Artificial Analysis42with thinking

Instructions in the README Repo

Engine: vLLM jovian-judgement-community-20260904-r25
Quantization: NVFP4 (modelopt) + nvfp4_ds_mla KV; Draft DFlash2 MXFP8
Model family: GLM-5.3-Flash
Context: 1,048,576
Creator: jcartu
GitHub stars: 1
Repo updated: Sep 10, 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)199 tok/scontext 0 · Llm_decode_bench 30-s-Zelle, max_tokens 8192, ignore_eos; aggregate output tok/s (openai_continuous_usage); TTFT avg 0.1067626600015501 s Source
Peak (decode)207 tok/scontext 32K · Llm_decode_bench 30-s-Zelle, max_tokens 8192, ignore_eos; aggregate output tok/s (openai_continuous_usage); TTFT avg 0.9204094480010099 s Source

Prefill by context

63K10,099 tok/sClient tok/s, Methode scout_only, 1 Probe Source

What you need

Hardware: 4 × NVIDIA RTX PRO 6000 Blackwell
Weights: Main weightslocal-inference-lab/GLM-5.3-Flash-NVFP4 MIT
Engine: vLLM jovian-judgement-community-20260904-r25
Context: 1,048,576 tokens

Notes

What matters before you rebuild it.

NC license (draft)

Sources

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Engine

Measurements

Decode · 1 request

Prefill by context

What you need

Notes

Sources

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