How fast is unsloth/Qwen3.5-2B-MTP-GGUF for local inference?

Across 9 community benchmark runs, unsloth/Qwen3.5-2B-MTP-GGUF reaches up to 168.6 tok/s and averages 149.8 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.

How much memory does unsloth/Qwen3.5-2B-MTP-GGUF need?

The leanest observed configuration used about 5.0 GB of memory (quantizations tested: UD-Q6_K_XL).

Which tools have been used to run unsloth/Qwen3.5-2B-MTP-GGUF?

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

Model benchmarks

unsloth/Qwen3.5-2B-MTP-GGUF local LLM performance

As of September 2026, unsloth/Qwen3.5-2B-MTP-GGUF runs at up to 168.6 tok/s for local inference (best of 9 community benchmark runs across 2 GPUs).

Unsloth Studiollama.cppUD-Q6_K_XL

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Model size

Peak speed

168.6 tok/s

Average speed

149.8 tok/s

Avg PP

2199.4 tok/s

Min memory

5.0 GB

Max context

262,144 tokens

Avg output / run

37,243 tokens

Avg runtime / run

3m 16s

Avg quality

43.7

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	36.9	43.7	50.9
Agent Workflow	25.8	49.2	80.6
Code Generation	26.6	37.0	46.4
Role Play & Narrative	31.4	56.2	71.3
Research & Analysis	8.3	32.4	55.2

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/Qwen3.5-2B-MTP-GGUF 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 4070	Unsloth Studio	UD-Q6_K_XL	168.6 tok/s	163.6 tok/s	5.0 GB	262,144 tokens	42.8	8
Intel(R) Arc(TM) 140V GPU (16GB)	llama.cpp	—	39.8 tok/s	39.8 tok/s	n/a	8,192 tokens	50.7	1

Benchmark runs

All 9 unsloth/Qwen3.5-2B-MTP-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

How fast is unsloth/Qwen3.5-2B-MTP-GGUF for local inference?: Across 9 community benchmark runs, unsloth/Qwen3.5-2B-MTP-GGUF reaches up to 168.6 tok/s and averages 149.8 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does unsloth/Qwen3.5-2B-MTP-GGUF need?: The leanest observed configuration used about 5.0 GB of memory (quantizations tested: UD-Q6_K_XL).
Which tools have been used to run unsloth/Qwen3.5-2B-MTP-GGUF?: Benchmarks were submitted using Unsloth Studio, llama.cpp. Results are community-contributed and updated as new runs arrive.