Benchmark result
IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF:1 on NVIDIA GeForce RTX 2060 — 24.3 tok/s
Measured with llama.cpp b11644-e467e5b5e5ba43071d6151b3d881deb9300d000e on October 17, 2026.
What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.
How this run compares
3rd fastest of 3 runs of this model on NVIDIA GeForce RTX 2060 · median 25.4 tok/s.
sort
- 125.9tok/s87.5llama.cpp
- 225.4tok/s82.0llama.cpp
- 324.3tok/s83.1llama.cppthis run
Reproduce this run
toolllama.cpp b11644-e467e5b5e5ba43071d6151b3d881deb9300d000e
modelIsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF:1
context262,144
samplingtemperature 0.800000011920929 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.96+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF:1" --tool "llama.cpp"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.