Model benchmarks
Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP local LLM performance
As of October 2026, Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP runs at up to 59.7 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
59.7 tok/s
Average speed
54.7 tok/s
Avg PP
769.7 tok/s
Min memory
10.1 GB
Max context
65,536 tokens
Avg output / run
24,121 tokens
Avg runtime / run
7m 53s
Avg quality
74.0
Benchmark runs
3
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 3 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 68.8 | 74.0 | 81.3 |
| Agent Workflow | 27.3 | 63.0 | 91.6 |
| Code Generation | 25.9 | 62.8 | 88.4 |
| Role Play & Narrative | 85.8 | 88.1 | 90.9 |
| Research & Analysis | 81.8 | 82.3 | 83.2 |
Performance by hardware and tool
Every hardware/tool/quantization combination Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 | prism | Q2_0 | 59.7 tok/s | 54.7 tok/s | 10.1 GB | 65,536 tokens | 74.0 | 3 |
Benchmark runs
All 3 Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP good for coding?
- In our benchmarks, Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP scores 62.8/100 for coding. It runs at about 54.7 tok/s, so if you want more speed, Nex-N2.5-mini-IQ3_XXS is faster (~80.3 tok/s) and still scores well for coding (84.5/100).
- Is Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP good for agentic (tool-using) tasks?
- In our benchmarks, Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP scores 63.0/100 for agentic workflows. It runs at about 54.7 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP for local inference?
- Across 3 community benchmark runs, Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP reaches up to 59.7 tok/s and averages 54.7 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- How much memory does Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP need?
- The leanest observed configuration used about 10.1 GB of memory (quantizations tested: Q2_0).
- Which tools have been used to run Ternary-Bonsai-2-27B-Abliterated-v2-PQ2_0-MTP?
- Benchmarks were submitted using prism. Results are community-contributed and updated as new runs arrive.