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phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 7, 2026 · AMD RYZEN AI MAX+ 395

Global Score
55 vs 88
Hardware Fit
100 vs 100
Quality Score
36 vs 83

Hardware

phi-3.5-mini-instr… lfm2:24b
MachineMacBook AirAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

phi-3.5-mini-instr… lfm2:24b
Tokens/sec43.485.3
First chunk359 ms123 ms
TTFT359 ms123 ms
Load timeN/A2.9 s
Memory usage2.0 GB14.3 GB
Memory %6%12%

HW Fit Score Breakdown

phi-3.5-mini-instruct

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

lfm2:24b

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

Quality

phi-3.5-mini-instruct

Reasoning
11/20
Coding
4/20
Instruction
7/20
Structured
1/15
Math
7/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Adequate

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

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