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wrapped·Jul 01, 2026
/r/r_q9f15lz6831
your run

stable-code-instruct-3b

on RTX 5090
356
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
1/165RTX 5090 runstop 1%
best workload
concurrent-decode
where the rig flew
slowest workload
chat-long289 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Qwen2.5-0.5B-Instruct-4bit on M3 Pro287 tok/s
  • stable-code-instruct-3b-4bit on M3 Ultra192 tok/s
  • DeepSeek-Coder-V2-Lite-Instruct-4bit on M3 Ultra168 tok/s
share
356 tok/s on RTX 5090 running stable-code-instruct-3b — top 1% of RTX 5090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_q9f15lz6831
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This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.