Benchmark result

prism-ml/Ternary-Bonsai-2-27B-gguf:PQ2_0 on AMD Radeon RX 9070/9070 XT/9070 GRE — 43.1 tok/s

Measured with llama.cpp b10754-2459f68b5 on October 5, 2026.

What the model built

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 8 runs of this model on AMD Radeon RX 9070/9070 XT/9070 GRE · median 42.3 tok/s.

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Reproduce this run

toolllama.cpp b10754-2459f68b5

modelprism-ml/Ternary-Bonsai-2-27B-gguf:PQ2_0 (Q2_0)

context32,768

thinkingon

effortmedium

think limitnone

samplingtemperature 0.8999999761581421 · top_p 0.949999988079071 · top_k 20 · min_p 0.10000000149011612 · presence_penalty 0 · repeat_penalty 1

clientv0.4.87+102

Set those in llama.cpp, then:

llm-benchmark benchmark --model "prism-ml/Ternary-Bonsai-2-27B-gguf:PQ2_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.