Model benchmarks
ptq1 local LLM performance
As of September 2026, ptq1 runs at up to 49.2 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
49.2 tok/s
Average speed
49.1 tok/s
Avg PP
401.6 tok/s
Min memory
3.4 GB
Max context
8.192 tokens
Avg output / run
15.367 tokens
Avg runtime / run
5m 25s
Avg quality
61.2
Benchmark runs
2
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 2 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 | 60.1 | 61.2 | 62.4 |
| Agent Workflow | 70.1 | 73.1 | 76.1 |
| Code Generation | 6.6 | 12.1 | 17.5 |
| Role Play & Narrative | 86.0 | 86.0 | 86.0 |
| Research & Analysis | 71.6 | 73.8 | 76.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination ptq1 has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 | llama.cpp | — | 49.2 tok/s | 49.1 tok/s | 3.4 GB | 8.192 tokens | 61.2 | 2 |
Benchmark runs
All 2 ptq1 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is ptq1 good for coding?
- In our benchmarks, ptq1 scores 12.1/100 for coding. It runs at about 49.1 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
- Is ptq1 good for agentic (tool-using) tasks?
- In our benchmarks, ptq1 scores 73.1/100 for agentic workflows. It runs at about 49.1 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
- How fast is ptq1 for local inference?
- Across 2 community benchmark runs, ptq1 reaches up to 49.2 tok/s and averages 49.1 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
- How much memory does ptq1 need?
- The leanest observed configuration used about 3.4 GB of memory.
- Which tools have been used to run ptq1?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.