lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
deepseek-r1:1.5b
OLLAMA GGUFqwen2 · 1.8B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
80 vs 66
Hardware Fit
95 vs 100
Quality Score
73 vs 51
Hardware
lfm2.5:8b deepseek-r1:1.5b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5:8b deepseek-r1:1.5b
Tokens/sec98.585.4
First chunk167 ms115 ms
TTFT2.5 s115 ms
Load time3.0 s0.5 s
Memory usage6.0 GB2.6 GB
Memory %37%8%
HW Fit Score Breakdown
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
deepseek-r1:1.5b
Speed
50/50
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
deepseek-r1:1.5b
Reasoning
14/20
Coding
4/20
Instruction
8/20
Structured
6/15
Math
14/15
Multilingual
5/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate
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