Is swift-1.5-27b-full good for agentic (tool-using) tasks?

In our benchmarks, swift-1.5-27b-full scores 86.1/100 for agentic workflows. It runs at about 162.3 tok/s, so if you want more speed, swift-1.5-qwen3.8-flash-next-iq3_s is faster (~259.0 tok/s) and still scores well for agentic workflows (88.9/100).

How fast is swift-1.5-27b-full for local inference?

Across 7 community benchmark runs, swift-1.5-27b-full reaches up to 177.2 tok/s and averages 162.3 tok/s, with the fastest results on AMD Radeon AI PRO R9700.

Which tools have been used to run swift-1.5-27b-full?

Benchmarks were submitted using radiance. Results are community-contributed and updated as new runs arrive.

Model benchmarks

swift-1.5-27b-full local LLM performance

As of November 2026, swift-1.5-27b-full runs at up to 177.2 tok/s for local inference (best of 7 community benchmark runs across 1 GPU).

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Model size

27B

Peak speed

177.2 tok/s

Average speed

162.3 tok/s

Avg PP

3415.8 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

39,254 tokens

Avg runtime / run

4m 4s

Avg quality

86.4

Benchmark runs

GPUs tested

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	83.7	86.4	88.8
Agent Workflow	80.7	86.1	92.4
Code Generation	77.2	82.8	86.5
Role Play & Narrative	84.9	91.1	94.8
Research & Analysis	80.5	85.8	89.0

Performance by hardware and tool

Every hardware/tool/quantization combination swift-1.5-27b-full has been benchmarked on, ranked by peak token generation speed. Last updated November 2026.

Hardware	Tool	Quant	Best tok/s	Avg tok/s	Memory	Context	Quality	Runs
AMD Radeon AI PRO R9700	radiance	—	177.2 tok/s	162.3 tok/s	n/a	65,536 tokens	86.4	7

Benchmark runs

All 7 swift-1.5-27b-full runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is swift-1.5-27b-full good for agentic (tool-using) tasks?: In our benchmarks, swift-1.5-27b-full scores 86.1/100 for agentic workflows. It runs at about 162.3 tok/s, so if you want more speed, swift-1.5-qwen3.8-flash-next-iq3_s is faster (~259.0 tok/s) and still scores well for agentic workflows (88.9/100).
How fast is swift-1.5-27b-full for local inference?: Across 7 community benchmark runs, swift-1.5-27b-full reaches up to 177.2 tok/s and averages 162.3 tok/s, with the fastest results on AMD Radeon AI PRO R9700.
Which tools have been used to run swift-1.5-27b-full?: Benchmarks were submitted using radiance. Results are community-contributed and updated as new runs arrive.