Benchmark result

IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF on AMD Radeon RX 7900 XTX — 135.4 tok/s

Measured with llama.cpp b11195-d834d44e6 on September 27, 2026.

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What the model built

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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

2nd fastest of 2 runs of this model on AMD Radeon RX 7900 XTX · median 135.7 tok/s.

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IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF on other hardware

Reproduce this run

toolllama.cpp b11195-d834d44e6
modelIsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF
context65,536
thinkingon
samplingtemperature 0.800000011920929 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.80+98

Set those in llama.cpp, then:

llm-benchmark benchmark --model "IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF" --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.