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mlx-community/gemma-3-4b-it-qat-4bit

LM-STUDIO GGUF
Excellent

Mar 5, 2026 · Apple M4

hf.co/openbmb/MiniCPM5-1B-GGUF:F16

OLLAMA GGUF

llama · 1.08B · F16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
80 vs 71
Hardware Fit
100 vs 100
Quality Score
71 vs 58

Hardware

mlx-community/gemm… hf.co/openbmb/Mini…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/gemm… hf.co/openbmb/Mini…
Tokens/sec43.288.1
First chunk428 ms38 ms
TTFT428 ms38 ms
Load timeN/A1.6 s
Memory usage1.3 GB3.9 GB
Memory %4%25%

HW Fit Score Breakdown

mlx-community/gemma-3-4…

Speed
50/50
TTFT
20/20
Memory
30/30

hf.co/openbmb/MiniCPM5-…

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

mlx-community/gemma-3-4…

Reasoning
9/20
Coding
17/20
Instruction
17/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

hf.co/openbmb/MiniCPM5-…

Reasoning
12/20
Coding
10/20
Instruction
15/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate

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