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

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
45 vs 64
Hardware Fit
100 vs 100
Quality Score
21 vs 49

Hardware

mlx-community/quan… smollm2:1.7b
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… smollm2:1.7b
Tokens/sec44.451.8
First chunk336 msN/A
TTFT336 ms84 ms
Load timeN/A0.4 s
Memory usage0.1 GB3.7 GB
Memory %0%12%

HW Fit Score Breakdown

mlx-community/quantized…

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

smollm2:1.7b

Speed
40/50
TTFT
30/20
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

smollm2:1.7b

Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View mlx-community/quan… details | View smollm2:1.7b 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