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gemma-3-270m-it-qat-mlx

LM-STUDIO MLX

gemma3_text · 270M · 4bit

Marginal

Mar 4, 2026 · Apple M4

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
43 vs 80
Hardware Fit
99 vs 95
Quality Score
19 vs 73

Hardware

gemma-3-270m-it-qa… lfm2.5:8b
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

gemma-3-270m-it-qa… lfm2.5:8b
Tokens/sec344.298.5
First chunk173 ms167 ms
TTFT173 ms2.5 s
Load timeN/A3.0 s
Memory usage0.3 GB6.0 GB
Memory %1%37%

HW Fit Score Breakdown

gemma-3-270m-it-qat-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

Quality

gemma-3-270m-it-qat-mlx

Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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