liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
stablelm2:1.6b
OLLAMA GGUFstablelm · 2B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
74 vs 45
Hardware Fit
84 vs 100
Quality Score
69 vs 22
Hardware
liquid/lfm2-24b-a2b stablelm2:1.6b
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 stablelm2:1.6b
Tokens/sec58.993.8
First chunk28 msN/A
TTFT481 ms94 ms
Load timeN/A0.4 s
Memory usage17.5 GB1.1 GB
Memory %73%3%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
stablelm2:1.6b
Speed
40/50
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
stablelm2:1.6b
Reasoning
4/20
Coding
7/20
Instruction
6/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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