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mlx-community/quantized-gemma-2b-it

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

starling-lm:7b

OLLAMA GGUF

llama · 7B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
45 vs 65
Hardware Fit
100 vs 96
Quality Score
21 vs 52

Hardware

mlx-community/quan… starling-lm:7b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/quan… starling-lm:7b
Tokens/sec44.423.8
First chunk336 ms232 ms
TTFT336 ms232 ms
Load timeN/A0.4 s
Memory usage0.1 GB5.3 GB
Memory %0%17%

HW Fit Score Breakdown

mlx-community/quantized…

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

starling-lm:7b

Speed
46/50
TTFT
20/20
Memory
30/30

Quality

mlx-community/quantized…

Reasoning
4/20
Coding
1/20
Instruction
9/20
Structured
4/15
Math
2/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Poor

starling-lm:7b

Reasoning
10/20
Coding
13/20
Instruction
8/20
Structured
3/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Adequate Multilingual: Strong
View mlx-community/quan… details | View starling-lm:7b 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