Benchmark result
Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ4_XS on Tesla P100-PCIE-16GB — 37.5 tok/s
Measured with llama.cpp b1-5266f24 on September 22, 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 Tesla P100-PCIE-16GB · median 37.9 tok/s.
sort
- 139.4tok/s73.2llama.cpp
- 237.9tok/s75.2llama.cpp
- 337.5tok/s74.7llama.cppthis run
Reproduce this run
toolllama.cpp b1-5266f24
modelCyber-Tiel-Coder-35B-A3B-MTP-UD-IQ4_XS
context65,536
thinkingoff
samplingtemperature 0.6000000238418579 · top_p 0.949999988079071 · top_k 20 · min_p 0 · presence_penalty 0 · repeat_penalty 1
clientv0.4.71+98
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Cyber-Tiel-Coder-35B-A3B-MTP-UD-IQ4_XS" --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.