hf.co/Edge-Quant/Nanbeige4.1-3B-Q8_0-GGUF:Q8_0

OLLAMA GGUF

llama · 3.93B · unknown

Not Rec.

Aug 22, 2026 · Apple M1 Pro

microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

52 vs 62

Hardware Fit

75 vs 99

Quality Score

42 vs 46

Hardware

hf.co/Edge-Quant/N… microsoft/phi-4-mi…

MachineMacBook ProMacBook Air

CPUApple M1 ProApple M4

Cores1010

RAM16 GB32 GB

GPUApple M1 ProApple M4

OSmacOS 26.6.2macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

hf.co/Edge-Quant/N… microsoft/phi-4-mi…

Tokens/sec43.540.3

First chunk225 ms289 ms

TTFT30.0 s289 ms

Load time2.7 sN/A

Memory usage8.2 GB2.0 GB

Memory %51%6%

HW Fit Score Breakdown

hf.co/Edge-Quant/Nanbei…

Speed

50/50

TTFT

0/20

Memory

25/30

microsoft/phi-4-mini-re…

Speed

50/50

TTFT

20/20

Memory

29/30

Quality

hf.co/Edge-Quant/Nanbei…

Reasoning

13/20

Coding

1/20

Instruction

7/20

Structured

1/15

Math

13/15

Multilingual

7/10

Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Adequate

microsoft/phi-4-mini-re…

Reasoning

7/20

Coding

6/20

Instruction

7/20

Structured

7/15

Math

12/15

Multilingual

7/10

Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate

View hf.co/Edge-Quant/N… details | View microsoft/phi-4-mi… details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest