Nanbeige4.2 3B on Pi 5

Snapshot 2026-10-27 · ai-tier

Raspberry Pi 5 · 16 GB RAMAll performance measurements are for this device.

Capability shows how well the model answers the benchmark questions. Speed, response time and memory are measured on Raspberry Pi 5 · 16 GB.

Capability summarises instruction following, tool calling and finding information in long prompts. Speed and memory refer to the Raspberry Pi 5. — means unavailable.
Model	Capability / 100	Output tok/s	Prompt tok/s	First token · s	Task time · s	Peak memory · MiB	Parameters · B
Nanbeige4.2 3BQ4_K_M · 4,096 context · reasoning off	63	2.7	12.2	39.1	218.4	5,302	4.2

Benchmark breakdown

Instruction following · IFEval	Tool calling · BFCL	Finding information · RULER
75	48	65

Test configuration

Model publisher: Nanbeige
Model parameters: 4.17 billion total
Published input support: text (metadata; not device validation)
Quantization: Q4_K_M
Context capacity: 4,096 tokens
Reasoning mode: off
CPU threads / parallel requests: 4 / 1
Temperature / seed: 0 / 42
Measurement date: 2026-10-19T11:48:22.821230+00:00
Result ID: split-9533d35fc868a20e76e9
Runtime revision: 620d2225cc436ab0b001e3200e590e3b286ef9ab
Artifact repository / revision: bartowski/Nanbeige_Nanbeige4.2-3B-GGUF / 17562eefe9752007209148d5f7a6e275fc8d8077
Artifact SHA256: b92d2e35c9876b0c4bc671996360204f4149d0546c23d5954d5eb3b106c81f24
Dataset revision: a0fc00b6a07455d1efb70cc19d5ca94c5923c5261a0b41095083a41a1592a1f6
Configuration identity: e661207dfc0b2ae137e351e81a07fc62bb8787998625a3e279fe4372f7d86721

Measurement limits

Speed tests read 256 input tokens and generate 128 output tokens, repeated ten times. The output speed test starts without a long conversation history. Answer time uses six fixed prompts with up to 128 output tokens, repeated three times. First-text time is measured from the application making the request. Peak memory includes the loaded model; it excludes other applications on the device. Longer prompts may need more memory. Capability uses a fixed selection of public questions, rather than the full official benchmarks.

All Pi 5 measurements Methodology Publisher model card ↗Pinned engine source ↗

Measured 2026-10-19T11:48:22.821230+00:00.