RTX 5090 × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on RTX 5090

65.3best gen tok/s
5,328best prompt tok/s
640max context tested
9results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium65.34,777LocalScore ↗512+128281 msllamafile 0.9.2
Q4_K - Medium65.14,787LocalScore ↗512+128279 msllamafile 0.9.2
Q4_K - Medium65.04,758LocalScore ↗512+128719 msllamafile 0.9.2
Q4_K - Medium62.35,328LocalScore ↗512+128239 msllamafile 0.9.3
Q4_K - Medium55.65,069LocalScore ↗512+128252 msllamafile 0.9.3
Q4_K - Medium49.54,295LocalScore ↗512+128631 msllamafile 0.9.2
Q4_K - Medium27.42,671LocalScore ↗512+128689 msllamafile 0.9.2
Q4_K - Medium26.12,626LocalScore ↗512+128493 msllamafile 0.9.2
Q4_K - Medium24.32,451LocalScore ↗512+128754 msllamafile 0.9.2

Ollama

No measured Ollama results yet. Submit yours →

MLX

No measured MLX results yet. Submit yours →

"Context tested" is the largest prompt+generation length actually benchmarked (tokens), not a memory-fit estimate.

What else can RTX 5090 run? →

Includes results from LocalScore, a Mozilla Builders project by cjpais, mirrored in the cn0303/local-llm-speed-benchmarks dataset. LocalScore runs use llamafile, which is built on llama.cpp.