liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
74 vs 60
Hardware Fit
84 vs 80
Quality Score
69 vs 52
Hardware
liquid/lfm2-24b-a2b lfm2.5-thinking:1.2b
MachineMac miniMacBook Pro
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB48 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b lfm2.5-thinking:1.2b
Tokens/sec58.9227.0
First chunk28 ms60 ms
TTFT481 ms30.0 s
Load timeN/A0.7 s
Memory usage17.5 GB2.6 GB
Memory %73%6%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
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
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