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lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 7, 2026 · AMD RYZEN AI MAX+ 395

microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
88 vs 62
Hardware Fit
100 vs 99
Quality Score
83 vs 46

Hardware

lfm2:24b microsoft/phi-4-mi…
MachineAZW GTR ProMacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM125 GB32 GB
GPURadeon 8060SApple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

lfm2:24b microsoft/phi-4-mi…
Tokens/sec85.340.3
First chunk123 ms289 ms
TTFT123 ms289 ms
Load time2.9 sN/A
Memory usage14.3 GB2.0 GB
Memory %12%6%

HW Fit Score Breakdown

lfm2:24b

Speed
50/50
TTFT
20/20
Memory
30/30

microsoft/phi-4-mini-re…

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

lfm2:24b

Reasoning
14/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

microsoft/phi-4-mini-re…

Reasoning
7/20
Coding
6/20
Instruction
7/20
Structured
7/15
Math
12/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest