Local AI · Recipe · 4× RTX PRO 6000

GLM-5.3-Flash TrellisMX codec-v2 FP8 with vLLM on 4× RTX PRO 6000

GLM-5.3-Flash TrellisMX codec-v2 FP8 with vLLM on 4× RTX PRO 6000: 189 tok/s according to huggingface.co (dataset as of Nov 3, 2026).

by brandonmusic

189tok/sPeak

1 request, context 0 (78 prompt tokens), synthetic sustained decode with ignore-EOS, with MTP3 (per recipe)

Source: huggingface.co
Intelligence (original model) · Artificial Analysis42with thinking

Install: GLM-5.3-Flash TrellisMX codec-v2 FP8 with vLLM on 4× RTX PRO 6000

Command
hf download brandonmusic/glm-5.3-flash-tr3-fp8 --revision codecv2-prefill-20260927 --local-dir /absolute/path/to/glm-5.3-flash-tr3-fp8

Full instructions in the README
Repo

Engine

Engine
vLLM (TrellisMX-Runtime, Image verdictai/trellismx:glm53-codecv2-prefill-20260927 @sha256:6240b05f…; TP4/DCP4, MTP3)
Quantization
TrellisMX codec-v2 K4 (4,25 bpw Payload, Routed- + MTP-Experten) → native FP8 E4M3 Experten-Math (UE8M0/K32), FP8 KV
Model family
GLM-5.3-Flash
Context
1,000,000
Creator
brandonmusic
GitHub stars
4
Repo updated
Oct 29, 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)189 tok/scontext 0 · Owner-Benchmark run-inference-bench v0.4.29: 30-s-Messfenster, 3 s Warmup, max. 8.192 Output-Token, ignore-EOS, Default-Sampling (Temperatur 1,0 / top-p 0,95), MTP3, FP8 KV; eine Serie ohne Wiederholungen Source 

Prefill by context

  • 32K9,520 tok/sStandalone-Prefill, Client-Messung (Prompt-Token / Client-TTFT), 32.321 tatsächliche Prompt-Token, eindeutige Präfixe gegen Cache-Reuse, Median aus 3 Samples Source 

Time to first token

Shorter is better.

  • Prompt not stated13,751 mscontext 128K · Client-TTFT, 128.880 tatsächliche Prompt-Token, ein Sample Source 

What you need

Hardware
4 × NVIDIA RTX PRO 6000 Blackwell
Engine
vLLM (TrellisMX-Runtime, Image verdictai/trellismx:glm53-codecv2-prefill-20260927 @sha256:6240b05f…; TP4/DCP4, MTP3)
Context
1,000,000 tokens

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