Model benchmarks

unsloth/Qwen3.5-4B-MTP-GGUF local LLM performance

As of September 2026, unsloth/Qwen3.5-4B-MTP-GGUF runs at up to 146.2 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).

Unsloth StudioUD-Q4_K_XLUD-Q6_K_XL
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Model size

4B

Peak speed

146.2 tok/s

Average speed

103.9 tok/s

Avg PP

1578.0 tok/s

Min memory

11.2 GB

Max context

262.144 tokens

Avg output / run

9.098 tokens

Avg runtime / run

2m 9s

Avg quality

59.9

Benchmark runs

4

GPUs tested

1

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.

TaskP5 (low)AvgP95 (high)
Overall54.459.968.3
Agent Workflow26.452.083.0
Code Generation50.053.957.7
Role Play & Narrative61.667.774.7
Research & Analysis60.266.072.4

Performance by hardware and tool

Every hardware/tool/quantization combination unsloth/Qwen3.5-4B-MTP-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 4070Unsloth StudioUD-Q4_K_XL146.2 tok/s133.6 tok/s17.1 GB65.536 tokens63.82
NVIDIA GeForce RTX 4070Unsloth Studio—123.0 tok/s123.0 tok/s11.2 GB65.536 tokens53.81
NVIDIA GeForce RTX 4070Unsloth StudioUD-Q6_K_XL25.5 tok/s25.5 tok/s18.3 GB262.144 tokens58.11

Benchmark runs

All 4 unsloth/Qwen3.5-4B-MTP-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is unsloth/Qwen3.5-4B-MTP-GGUF good for coding?
In our benchmarks, unsloth/Qwen3.5-4B-MTP-GGUF scores 53.9/100 for coding. It runs at about 103.9 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
Is unsloth/Qwen3.5-4B-MTP-GGUF good for agentic (tool-using) tasks?
In our benchmarks, unsloth/Qwen3.5-4B-MTP-GGUF scores 52.0/100 for agentic workflows. It runs at about 103.9 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
How fast is unsloth/Qwen3.5-4B-MTP-GGUF for local inference?
Across 4 community benchmark runs, unsloth/Qwen3.5-4B-MTP-GGUF reaches up to 146.2 tok/s and averages 103.9 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does unsloth/Qwen3.5-4B-MTP-GGUF need?
The leanest observed configuration used about 11.2 GB of memory (quantizations tested: UD-Q4_K_XL, UD-Q6_K_XL).
Which tools have been used to run unsloth/Qwen3.5-4B-MTP-GGUF?
Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.