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[Benchmark] Running 81GB IQ3_S on 32GB RAM via massive Virtual Memory + 3080 12G (Peak 89.3 T/s!) #144

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@hadeschin

Hello everyone, I want to share an extreme local deployment case. I successfully ran the Qwen3.8 IQ3_S (approx. 81GB) model on a PC with only 32GB of physical RAM and an RTX 3080 12G, achieving a peak decode speed of 89.3 T/s!

💻 My Extreme Hardware Setup:

  • CPU: Intel Core i5-14490F (10 cores / 16 threads)
  • GPU: NVIDIA RTX 3080 12G
  • RAM: 32GB DDR5 6000MHz
  • Virtual Memory (The Secret Weapon): Nearly 500GB of Virtual Memory (Formatted three old SATA SSDs: 120GB + 128GB + 256GB entirely dedicated to pagefile.sys)
  • Network: 2.5G LAN (Desktop acts as a pure headless server, laptop as the client)

📊 Benchmark Results (From cold start to extreme limits):

Scenario Context (Tokens) Prefill Speed Output Length Decode Speed Expert Cache Hit Notes
Cold Start ~4,000 575 t/s (7s) 5,653 71.2 T/s 95.7% Initial burst, instantly fast
Incremental ~8,700 1,250 t/s (7s) 5,306 75.5 T/s 96.6% Cache hit, speed climbing
Long Text ~13,800 1,985 t/s (7s) 3,011 79.1 T/s 96.9% Very stable
Extreme Long ~91,400 1,270 t/s (72s) 4,242 89.3 T/s (Peak!) 94.8% Reached near 90T while writing code
Near Full ~118,100 1,217 t/s (97s) 8,128 65.4 T/s 95.3% Pushing 118K context limit
High Freq Edit ~50,000 Instant (6s) 200~1600 60 ~ 93 T/s 91% ~ 95% Agent editing, extremely smooth

⚙️ Key JSON Configuration:

"--max-context", "128000",
"--kv", "int8",
"--kv-grow",
"--expert-cache", "auto",
"--adapt-async", "1",
"--prefill", "auto:32768",
"--spec", "4",
"--spec-min-p", "0.3",
"--suffix-draft", "3",
"--draft", "dflash2",
"--prompt-cache", "16",
"--conversation-cache-mib", "2048"

Activity

  1. changed the title [-]Running 110GB UD-Q5 on 32GB RAM via massive Virtual Memory + 3080 12G (89.3 T/s peak!)[/-] [+][Benchmark] Running 81GB IQ3_S on 32GB RAM via massive Virtual Memory + 3080 12G (Peak 89.3 T/s!)[/+] on Nov 5, 2026
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