Benchmark result

Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP on 2× NVIDIA GeForce RTX 4070 — 56.9 tok/s

Measured with prism manual on October 1, 2026.

ShareRedditX

Support llm-bench.io

llm-bench.io is free. If it helped you, I'd appreciate your support to cover the infrastructure costs.

Support me on Ko-fiBuy me a coffee

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 2× NVIDIA GeForce RTX 4070 · Multi-GPU · median 56.9 tok/s.

sort
Compare the nearest 5 →

Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP on other hardware

Reproduce this run

toolprism manual
modelTernary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP (Q2_0)
context65,536
thinkingon
clientv0.4.85+101

Set those in prism, then:

llm-benchmark benchmark --model "Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP" --tool "prism"

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.