wizardlm2:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 2, 2026 · Apple M4
Qwen3.8-27B-UD-Q3_K_XL
OLLAMA GGUFllama · 27.3B · Q4_K
Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K
Global Score
59 vs 90
Hardware Fit
97 vs 97
Quality Score
43 vs 87
Hardware
wizardlm2:7b Qwen3.8-27B-UD-Q3_…
MachineMacBook Air—
CPUApple M4Intel Gen Intel® Core™ i5-12600K
Cores1016
RAM32 GB31 GB
GPUApple M4AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
wizardlm2:7b Qwen3.8-27B-UD-Q3_…
Tokens/sec23.239.0
First chunkN/A305 ms
TTFT264 ms305 ms
Load time0.6 s0.0 s
Memory usage9.9 GB12.5 GB
Memory %31%41%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/50
TTFT
30/20
Memory
30/30
Qwen3.8-27B-UD-Q3_K_XL
Speed
50/50
TTFT
20/20
Memory
27/30
Quality
wizardlm2:7b
Reasoning
6/20
Coding
11/20
Instruction
10/20
Structured
4/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Strong
Qwen3.8-27B-UD-Q3_K_XL
Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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