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lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score
80 vs 66
Hardware Fit
95 vs 91
Quality Score
73 vs 55

Hardware

lfm2.5:8b qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M1 ProApple M5 Max
OSmacOS 26.6.2macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2.5:8b qwen3.8-27b-mlx
Tokens/sec98.533.2
First chunk167 ms7 ms
TTFT2.5 s311 ms
Load time3.0 sN/A
Memory usage6.0 GB0.5 GB
Memory %37%1%

HW Fit Score Breakdown

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

qwen3.8-27b-mlx

Speed
41/50
TTFT
20/20
Memory
30/30

Quality

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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