Local AI · Recipe · 4× RTX 3090

Nemotron-3-Puzzle 75.3B NVFP4 with vLLM on 4× RTX 3090

Nemotron-3-Puzzle 75.3B NVFP4 with vLLM on 4× RTX 3090: 104 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

104tok/sEveryday

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

Source: github.com
Intelligence (original model) · Artificial Analysisno independent value

Engine

Engine
vLLM
Quantization
NVIDIA modelopt NVFP4 (Experten) + FP8 (Mamba/Shared) → auf Ampere Marlin-W4A16-Dequant; fp8_e4m3 KV
Model family
Nemotron-3-Puzzle
Context
200,000
Parameters
75.3B MoE / 9.3B aktiv (Mamba2-Hybrid)
Creator
noonghunna
GitHub stars
2,471
Repo updated
Nov 2, 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)104 tok/sKanonischer bench.sh: Narrativ = 800-Wort-Essay (max_tokens 1000), Code = Quicksort (max_tokens 800), T=0.6, 3 Warmups + 5 Läufe, mean wall TPS; decode 105.4, CV 4.6%, TTFT 148 ms; N=2-Konfiguration Source 
  • Peak (decode)128 tok/sKanonischer bench.sh: Narrativ = 800-Wort-Essay (max_tokens 1000), Code = Quicksort (max_tokens 800), T=0.6, 3 Warmups + 5 Läufe, mean wall TPS; decode 130.3, TTFT 130 ms Source 

What you need

Hardware
4 × NVIDIA RTX 3090
Engine
vLLM
Context
200,000 tokens

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