Model benchmarks

openbmb/MiniCPM5-1B-GGUF local LLM performance

As of October 2026, openbmb/MiniCPM5-1B-GGUF runs at up to 236.1 tok/s for local inference (best of 3 community benchmark runs across 2 GPUs).

Unsloth StudioQ8_0
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Model size

1B

Peak speed

236.1 tok/s

Average speed

128.4 tok/s

Avg PP

3773.3 tok/s

Min memory

4.0 GB

Max context

131,072 tokens

Avg output / run

15,719 tokens

Avg runtime / run

2m 32s

Avg quality

14.1

Benchmark runs

3

GPUs tested

2

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 3 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)
Overall12.814.115.5
Agent Workflow21.122.123.0
Code Generation0.00.51.3
Role Play & Narrative21.323.524.9
Research & Analysis8.010.213.3

Performance by hardware and tool

Every hardware/tool/quantization combination openbmb/MiniCPM5-1B-GGUF has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
NVIDIA GeForce RTX 4070Unsloth StudioQ8_0236.1 tok/s236.1 tok/s4.0 GB131,072 tokens12.71
Intel(R) Arc(TM) 140V GPU (16GB)Unsloth Studio—85.6 tok/s74.5 tok/sn/a8,192 tokens14.72

Benchmark runs

All 3 openbmb/MiniCPM5-1B-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is openbmb/MiniCPM5-1B-GGUF good for agentic (tool-using) tasks?
In our benchmarks, openbmb/MiniCPM5-1B-GGUF scores 22.1/100 for agentic workflows. It runs at about 128.4 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e-MTP is faster (~151.8 tok/s) and still scores well for agentic workflows (83.0/100).
How fast is openbmb/MiniCPM5-1B-GGUF for local inference?
Across 3 community benchmark runs, openbmb/MiniCPM5-1B-GGUF reaches up to 236.1 tok/s and averages 128.4 tok/s, with the fastest results on NVIDIA GeForce RTX 4070.
How much memory does openbmb/MiniCPM5-1B-GGUF need?
The leanest observed configuration used about 4.0 GB of memory (quantizations tested: Q8_0).
Which tools have been used to run openbmb/MiniCPM5-1B-GGUF?
Benchmarks were submitted using Unsloth Studio. Results are community-contributed and updated as new runs arrive.