Model benchmarks
swift-1.5-qwen3.8-27b-uncensored local LLM performance
As of October 2026, swift-1.5-qwen3.8-27b-uncensored runs at up to 282.2 tok/s for local inference (best of 7 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
282.2 tok/s
Average speed
275.1 tok/s
Avg PP
13123.0 tok/s
Min memory
28.8 GB
Max context
100,000 tokens
Avg output / run
20,702 tokens
Avg runtime / run
1m 13s
Avg quality
85.4
Benchmark runs
7
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 7 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 | 83.2 | 85.4 | 87.6 |
| Agent Workflow | 81.1 | 86.6 | 90.9 |
| Code Generation | 71.8 | 77.8 | 84.3 |
| Role Play & Narrative | 87.2 | 92.2 | 95.1 |
| Research & Analysis | 79.7 | 84.8 | 87.6 |
Performance by hardware and tool
Every hardware/tool/quantization combination swift-1.5-qwen3.8-27b-uncensored 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 5060 Ti | ninfer | — | 282.2 tok/s | 275.1 tok/s | 28.8 GB | 100,000 tokens | 85.4 | 7 |
Benchmark runs
All 7 swift-1.5-qwen3.8-27b-uncensored runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is swift-1.5-qwen3.8-27b-uncensored for local inference?
- Across 7 community benchmark runs, swift-1.5-qwen3.8-27b-uncensored reaches up to 282.2 tok/s and averages 275.1 tok/s, with the fastest results on NVIDIA GeForce RTX 5060 Ti.
- How much memory does swift-1.5-qwen3.8-27b-uncensored need?
- The leanest observed configuration used about 28.8 GB of memory.
- Which tools have been used to run swift-1.5-qwen3.8-27b-uncensored?
- Benchmarks were submitted using ninfer. Results are community-contributed and updated as new runs arrive.