Back to leaderboard

wizardlm2:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
59 vs 76
Hardware Fit
97 vs 51
Quality Score
43 vs 87

Hardware

wizardlm2:7b gemma-3-27b-it-qat
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

wizardlm2:7b gemma-3-27b-it-qat
Tokens/sec23.28.9
First chunkN/A3976 ms
TTFT264 ms4.0 s
Load time0.6 sN/A
Memory usage9.9 GB15.7 GB
Memory %31%25%

HW Fit Score Breakdown

wizardlm2:7b

Speed
37/50
TTFT
30/20
Memory
30/30

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
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

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest