Benchmark result
Ternary-Bonsai-2-27B-PTQ1_0 on NVIDIA GeForce RTX 4070 — 56.3 tok/s
Measured with llama.cpp b10754-2459f68b5 on October 8, 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 3 runs of this model on NVIDIA GeForce RTX 4070 · median 56.3 tok/s.
sort
- 157.5tok/s78.9OpenAI-compatible · Q1_0
- 256.3tok/s77.6llama.cpp · Q1_0this run
- 328.6tok/s83.2llama.cpp · Q1_0
Ternary-Bonsai-2-27B-PTQ1_0 on other hardware
Reproduce this run
toolllama.cpp b10754-2459f68b5
modelTernary-Bonsai-2-27B-PTQ1_0 (Q1_0)
context65,536
thinkingon
effortxhigh
think limitnone
samplingtemperature 1 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.89+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Ternary-Bonsai-2-27B-PTQ1_0" --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.