deepseek-r1:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-6500
lfm2.5:8b
OLLAMA GGUFlfm2moe · 8.5B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
66 vs 80
Hardware Fit
63 vs 95
Quality Score
67 vs 73
Hardware
deepseek-r1:7b lfm2.5:8b
MachineGigabyte Technology Co., Ltd. H170M-D3HMacBook Pro
CPUIntel Core™ i5-6500Apple M1 Pro
Cores410
RAM16 GB16 GB
GPUGP104 [GeForce GTX 1070]Apple M1 Pro
OSUbuntu 24.04.4 LTSmacOS 26.6.2
Archx64arm64
Power Modelow-powerbalanced
Performance
deepseek-r1:7b lfm2.5:8b
Tokens/sec35.698.5
First chunk224 ms167 ms
TTFT7.5 s2.5 s
Load time7.7 s3.0 s
Memory usage4.6 GB6.0 GB
Memory %29%37%
HW Fit Score Breakdown
deepseek-r1:7b
Speed
50/50
TTFT
7/20
Memory
6/30
lfm2.5:8b
Speed
50/50
TTFT
17/20
Memory
28/30
Quality
deepseek-r1:7b
Reasoning
16/20
Coding
10/20
Instruction
9/20
Structured
10/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
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
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