RTX 3080 × Qwen2.5 14B Instruct

Qwen2.5 14B Instruct on RTX 3080

52.0best gen tok/s
1,741best prompt tok/s
4,352max context tested
6results

Measured · all numbers below come from the linked sources

llama.cpp

QuantGen tok/sPrompt tok/sSourceContext testedTTFTBuild
Q4_K - Medium52.01,595LocalScore ↗512+128802 msllamafile 0.9.2
Q4_K - Medium46.61,741LocalScore ↗512+128734 msllamafile 0.9.3
Q4_K - Medium41.01,307LocalScore ↗512+1283,576 msllamafile 0.9.2
Q4_K - Medium31.1874LocalScore ↗4,3527,275 msllamafile 0.9.3
Q4_K - Medium30.71,169LocalScore ↗4,3526,337 msllamafile 0.9.3
Q4_K - Medium14.4257LocalScore ↗4,35211,216 msllamafile 0.9.3

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 3080 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.