liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
unsloth-phi-4
LM-STUDIO MLXllama · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
74 vs 82
Hardware Fit
84 vs 88
Quality Score
69 vs 80
Hardware
liquid/lfm2-24b-a2b unsloth-phi-4
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM24 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b unsloth-phi-4
Tokens/sec58.927.4
First chunk28 ms457 ms
TTFT481 ms457 ms
Load timeN/AN/A
Memory usage17.5 GB7.7 GB
Memory %73%12%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
unsloth-phi-4
Speed
38/50
TTFT
20/20
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
unsloth-phi-4
Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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