wizardlm2:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 2, 2026 · Apple M4
google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
59 vs 82
Hardware Fit
97 vs 56
Quality Score
43 vs 93
Hardware
wizardlm2:7b google/gemma-4-26b…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
wizardlm2:7b google/gemma-4-26b…
Tokens/sec23.212.0
First chunkN/A86 ms
TTFT264 ms2.8 s
Load time0.6 s57.2 s
Memory usage9.9 GB9.1 GB
Memory %31%59%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/50
TTFT
30/20
Memory
30/30
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
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
google/gemma-4-26b-a4b-…
Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
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