How fast is unsloth/Qwen3.5-0.8B-MTP-GGUF for local inference?

Across 2 community benchmark runs, unsloth/Qwen3.5-0.8B-MTP-GGUF reaches up to 241.2 tok/s and averages 239.1 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.

How much memory does unsloth/Qwen3.5-0.8B-MTP-GGUF need?

The leanest observed configuration used about 400 MB of memory.

Which tools have been used to run unsloth/Qwen3.5-0.8B-MTP-GGUF?

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

Model benchmarks

unsloth/Qwen3.5-0.8B-MTP-GGUF local LLM performance

As of September 2026, unsloth/Qwen3.5-0.8B-MTP-GGUF runs at up to 241.2 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

llama.cpp

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Model size

0.8B

Peak speed

241.2 tok/s

Average speed

239.1 tok/s

Avg PP

1134.9 tok/s

Min memory

400 MB

Max context

262.144 tokens

Avg output / run

7.174 tokens

Avg runtime / run

33s

Avg quality

24.3

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 2 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	22.4	24.3	26.2
Agent Workflow	33.9	35.6	37.3
Code Generation	12.4	14.6	16.8
Role Play & Narrative	25.6	28.3	31.0
Research & Analysis	13.2	18.7	24.3

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/Qwen3.5-0.8B-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	llama.cpp	—	241.2 tok/s	239.1 tok/s	400 MB	262.144 tokens	24.3	2

Benchmark runs

All 2 unsloth/Qwen3.5-0.8B-MTP-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

How fast is unsloth/Qwen3.5-0.8B-MTP-GGUF for local inference?: Across 2 community benchmark runs, unsloth/Qwen3.5-0.8B-MTP-GGUF reaches up to 241.2 tok/s and averages 239.1 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does unsloth/Qwen3.5-0.8B-MTP-GGUF need?: The leanest observed configuration used about 400 MB of memory.
Which tools have been used to run unsloth/Qwen3.5-0.8B-MTP-GGUF?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.