wrapped·Jul 01, 2026
/r/r_8l57cim1i10your run
stable-code-instruct-3b
on RTX 5090
331.0
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
2/183RTX 5090 runstop 1%
best workload
chat-short
where the rig flew
slowest workload
—
single-workload run
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen2.5-0.5B-Instruct-4bit on M3 Pro286.5 tok/s
- gpt-oss-20b on RTX 4090242.6 tok/s
- LFM2.5-24B-A2B on RTX 4090236.8 tok/s