Is unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL good for agentic (tool-using) tasks?

In our benchmarks, unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL scores 83.6/100 for agentic workflows. It runs at about 175.3 tok/s, so if you want more speed, swift-1.5-qwen3.8-27b-uncensored is faster (~284.1 tok/s) and still scores well for agentic workflows (82.3/100).

Which tools have been used to run unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL?

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

Model benchmarks

unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL local LLM performance

As of September 2026, unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL runs at up to 183.9 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).

llama.cppQ4_K

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Model size

30B

Peak speed

183.9 tok/s

Average speed

175.3 tok/s

Avg PP

957.5 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

51,649 tokens

Avg runtime / run

4m 40s

Avg quality

80.0

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 4 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	76.4	80.0	84.8
Agent Workflow	77.7	83.6	88.6
Code Generation	62.5	71.0	79.5
Role Play & Narrative	73.4	84.6	90.8
Research & Analysis	74.2	80.7	86.3

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL 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 3080 Ti	llama.cpp	Q4_K	183.9 tok/s	175.3 tok/s	n/a	65,536 tokens	80.0	4

Benchmark runs

All 4 unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL good for agentic (tool-using) tasks?: In our benchmarks, unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL scores 83.6/100 for agentic workflows. It runs at about 175.3 tok/s, so if you want more speed, swift-1.5-qwen3.8-27b-uncensored is faster (~284.1 tok/s) and still scores well for agentic workflows (82.3/100).
How fast is unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL for local inference?: Across 4 community benchmark runs, unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL reaches up to 183.9 tok/s and averages 175.3 tok/s, with the fastest results on NVIDIA GeForce RTX 3080 Ti.
Which tools have been used to run unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.