gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
76 vs 60
Hardware Fit
51 vs 80
Quality Score
87 vs 52
Hardware
gemma-3-27b-it-qat lfm2.5-thinking:1.2b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4 Pro
Cores1414
RAM64 GB48 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.7.4macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma-3-27b-it-qat lfm2.5-thinking:1.2b
Tokens/sec8.9227.0
First chunk3976 ms60 ms
TTFT4.0 s30.0 s
Load timeN/A0.7 s
Memory usage15.7 GB2.6 GB
Memory %25%6%
HW Fit Score Breakdown
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
gemma-3-27b-it-qat
Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest