Local AI · Recipe · 2× RTX 3090

Nemotron-3-Puzzle 75.3B with vLLM on 2× RTX 3090

Nemotron-3-Puzzle 75.3B with vLLM on 2× RTX 3090: 45.8 tok/s according to github.com (dataset as of Nov 3, 2026).

by noonghunna

45.8tok/sEveryday

1 request, prose prompt, no speculative decoding

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

Engine

Engine
vLLM
Quantization
Community W4A16 compressed-tensors (danielrmay), int8_per_token_head KV
Model family
Nemotron-3-Puzzle
Context
262,144
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)45.8 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 (canonical, think-off); short-turn ~73 (Soak p50) Source 
  • Peak (decode)49 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 (canonical, think-off) Source 

What you need

Hardware
2 × NVIDIA RTX 3090
Engine
vLLM
Context
262,144 tokens

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