Benchmark result
IsValorum/Nex-N2.5-mini-APEX-I-MiniPlus-V2.1-GGUF on AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M +1 more — 135.4 tok/s
Measured with llama.cpp b11195-d834d44e6 on September 27, 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.
How this run compares
2nd fastest of 2 runs of this model on AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M +1 more · Multi-GPU · median 135.7 tok/s.
sort
- 1135.9tok/s84.8llama.cpp
- 2135.4tok/s83.6llama.cppthis run
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.