llama2:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 2, 2026 · Apple M4
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
55 vs 80
Hardware Fit
99 vs 85
Quality Score
36 vs 78
Hardware
llama2:7b qwen3:8b
MachineMacBook AirHP HP Z8 G4 Workstation
CPUApple M4Intel Xeon® Gold 6230
Cores1080
RAM32 GB252 GB
GPUApple M4TU104GL [Quadro RTX 5000]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
llama2:7b qwen3:8b
Tokens/sec25.165.1
First chunkN/A289 ms
TTFT228 ms4.2 s
Load time0.4 s4.6 s
Memory usage5.8 GB5.6 GB
Memory %18%2%
HW Fit Score Breakdown
llama2:7b
Speed
39/50
TTFT
30/20
Memory
30/30
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
Quality
llama2:7b
Reasoning
4/20
Coding
3/20
Instruction
13/20
Structured
8/15
Math
1/15
Multilingual
7/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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