Is unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF good for coding?

In our benchmarks, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF scores 48.0/100 for coding. It runs at about 44.7 tok/s, so if you want more speed, nvidia/Qwen3.8-27B-NVFP4 is faster (~63.3 tok/s) and still scores well for coding (82.7/100).

Is unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF good for agentic (tool-using) tasks?

In our benchmarks, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF scores 73.6/100 for agentic workflows. It runs at about 44.7 tok/s, so if you want more speed, swift-iq2_xs is faster (~91.5 tok/s) and still scores well for agentic workflows (91.4/100).

How fast is unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF for local inference?

Across 9 community benchmark runs, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF reaches up to 199.0 tok/s and averages 44.7 tok/s, with the fastest results on NVIDIA GeForce RTX 3080.

How much memory does unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF need?

The leanest observed configuration used about 9.0 GB of memory (quantizations tested: UD-Q5_K_XL, UD-TQ1_0).

Which tools have been used to run unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF?

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

Model benchmarks

unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF local LLM performance

As of November 2026, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF runs at up to 199.0 tok/s for local inference (best of 9 community benchmark runs across 1 GPU).

Unsloth StudioUD-Q5_K_XLUD-TQ1_0

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Model size

30B

Peak speed

199.0 tok/s

Average speed

44.7 tok/s

Avg PP

826.0 tok/s

Min memory

9.0 GB

Max context

98,304 tokens

Avg output / run

26,732 tokens

Avg runtime / run

16m 1s

Avg quality

66.7

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 9 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	47.2	66.7	76.9
Agent Workflow	60.7	73.6	81.9
Code Generation	3.4	48.0	72.8
Role Play & Narrative	45.4	77.3	91.3
Research & Analysis	58.8	67.9	78.4

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF 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
NVIDIA GeForce RTX 3080	Unsloth Studio	UD-TQ1_0	199.0 tok/s	116.3 tok/s	9.0 GB	16,384 tokens	48.3	2
NVIDIA GeForce RTX 3080	Unsloth Studio	UD-Q5_K_XL	26.3 tok/s	24.3 tok/s	n/a	98,304 tokens	71.9	7

Benchmark runs

All 9 unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF good for coding?: In our benchmarks, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF scores 48.0/100 for coding. It runs at about 44.7 tok/s, so if you want more speed, nvidia/Qwen3.8-27B-NVFP4 is faster (~63.3 tok/s) and still scores well for coding (82.7/100).
Is unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF good for agentic (tool-using) tasks?: In our benchmarks, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF scores 73.6/100 for agentic workflows. It runs at about 44.7 tok/s, so if you want more speed, swift-iq2_xs is faster (~91.5 tok/s) and still scores well for agentic workflows (91.4/100).
How fast is unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF for local inference?: Across 9 community benchmark runs, unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF reaches up to 199.0 tok/s and averages 44.7 tok/s, with the fastest results on NVIDIA GeForce RTX 3080.
How much memory does unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF need?: The leanest observed configuration used about 9.0 GB of memory (quantizations tested: UD-Q5_K_XL, UD-TQ1_0).
Which tools have been used to run unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF?: Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.