Is Dirk-Qwen3.8-27B-UD-IQ4_XS good for coding?

In our benchmarks, Dirk-Qwen3.8-27B-UD-IQ4_XS scores 78.5/100 for coding. It runs at about 31.3 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).

Is Dirk-Qwen3.8-27B-UD-IQ4_XS good for agentic (tool-using) tasks?

In our benchmarks, Dirk-Qwen3.8-27B-UD-IQ4_XS scores 75.4/100 for agentic workflows. It runs at about 31.3 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 Dirk-Qwen3.8-27B-UD-IQ4_XS for local inference?

Across 5 community benchmark runs, Dirk-Qwen3.8-27B-UD-IQ4_XS reaches up to 38.2 tok/s and averages 31.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.

Which tools have been used to run Dirk-Qwen3.8-27B-UD-IQ4_XS?

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

Model benchmarks

Dirk-Qwen3.8-27B-UD-IQ4_XS local LLM performance

As of September 2026, Dirk-Qwen3.8-27B-UD-IQ4_XS runs at up to 38.2 tok/s for local inference (best of 5 community benchmark runs across 2 GPUs).

llama.cpp

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Model size

27B

Peak speed

38.2 tok/s

Average speed

31.3 tok/s

Avg PP

427.9 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

20,319 tokens

Avg runtime / run

12m 4s

Avg quality

80.9

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 5 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	66.2	80.9	87.6
Agent Workflow	39.5	75.4	90.4
Code Generation	75.7	78.5	82.8
Role Play & Narrative	79.8	86.1	91.8
Research & Analysis	69.3	83.4	90.6

Performance by hardware and tool

Every hardware/tool/quantization combination Dirk-Qwen3.8-27B-UD-IQ4_XS 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 5060	llama.cpp	—	38.2 tok/s	37.5 tok/s	n/a	65,536 tokens	85.5	4
Tesla P100-PCIE-16GB	llama.cpp	—	6.6 tok/s	6.6 tok/s	n/a	65,536 tokens	62.2	1

Benchmark runs

All 5 Dirk-Qwen3.8-27B-UD-IQ4_XS runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is Dirk-Qwen3.8-27B-UD-IQ4_XS good for coding?: In our benchmarks, Dirk-Qwen3.8-27B-UD-IQ4_XS scores 78.5/100 for coding. It runs at about 31.3 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
Is Dirk-Qwen3.8-27B-UD-IQ4_XS good for agentic (tool-using) tasks?: In our benchmarks, Dirk-Qwen3.8-27B-UD-IQ4_XS scores 75.4/100 for agentic workflows. It runs at about 31.3 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 Dirk-Qwen3.8-27B-UD-IQ4_XS for local inference?: Across 5 community benchmark runs, Dirk-Qwen3.8-27B-UD-IQ4_XS reaches up to 38.2 tok/s and averages 31.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
Which tools have been used to run Dirk-Qwen3.8-27B-UD-IQ4_XS?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.