Benchmark result
IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED on NVIDIA GeForce RTX 2060 — 17.1 tok/s
Measured with llama.cpp manual on October 5, 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
2nd fastest of 2 runs of this model on NVIDIA GeForce RTX 2060 · median 19.4 tok/s.
sort
- 121.7tok/s80.0llama.cpp
- 217.1tok/s81.9llama.cppthis run
Reproduce this run
toolllama.cpp manual
modelIsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED
context65,536
think limitnone
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2.1-Abliterated-GGUF:ABLITERATED" --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.