liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
llama2:13b
OLLAMA GGUFllama · 13B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
74 vs 56
Hardware Fit
84 vs 84
Quality Score
69 vs 44
Hardware
liquid/lfm2-24b-a2b llama2:13b
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b llama2:13b
Tokens/sec58.913.5
First chunk28 msN/A
TTFT481 ms415 ms
Load timeN/A0.6 s
Memory usage17.5 GB10.3 GB
Memory %73%32%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
llama2:13b
Speed
24/50
TTFT
30/20
Memory
30/30
Quality
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
llama2:13b
Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor 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