wizardlm2:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 2, 2026 · Apple M4
unsloth/gemma-4-e4b-it@q4_k_m
LM-STUDIO GGUFgemma4 · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
59 vs 79
Hardware Fit
97 vs 68
Quality Score
43 vs 84
Hardware
wizardlm2:7b unsloth/gemma-4-e4…
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 unsloth/gemma-4-e4…
Tokens/sec23.210.8
First chunkN/A32 ms
TTFT264 ms2.0 s
Load time0.6 s9.2 s
Memory usage9.9 GB0.8 GB
Memory %31%5%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/50
TTFT
30/20
Memory
30/30
unsloth/gemma-4-e4b-it@…
Speed
20/50
TTFT
18/20
Memory
30/30
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
unsloth/gemma-4-e4b-it@…
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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