gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
Global Score
82 vs 74
Hardware Fit
99 vs 84
Quality Score
75 vs 69
Hardware
gemma4:e2b-mlx liquid/lfm2-24b-a2b
MachineMacBook ProMac mini
CPUApple M1 ProApple M4
Cores1010
RAM16 GB24 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e2b-mlx liquid/lfm2-24b-a2b
Tokens/sec70.458.9
First chunk96 ms28 ms
TTFT96 ms481 ms
Load time2.5 sN/A
Memory usage5.7 GB17.5 GB
Memory %36%73%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
Quality
gemma4:e2b-mlx
Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
liquid/lfm2-24b-a2b
Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate 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