wizardlm2:7b
OLLAMA GGUFllama · 7B · Q4_0
Mar 2, 2026 · Apple M4
prism-ml/bonsai-27b
LM-STUDIO GGUFqwen35 · 27B · Q1_0
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
59 vs 81
Hardware Fit
97 vs 95
Quality Score
43 vs 75
Hardware
wizardlm2:7b prism-ml/bonsai-27b
MachineMacBook AirASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M4AMD Ryzen 9 8940HX
Cores1032
RAM32 GB15 GB
GPUApple M4NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.3Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
wizardlm2:7b prism-ml/bonsai-27b
Tokens/sec23.233.6
First chunkN/A20 ms
TTFT264 ms409 ms
Load time0.6 sN/A
Memory usage9.9 GB5.3 GB
Memory %31%35%
HW Fit Score Breakdown
wizardlm2:7b
Speed
37/50
TTFT
30/20
Memory
30/30
prism-ml/bonsai-27b
Speed
46/50
TTFT
20/20
Memory
29/30
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
prism-ml/bonsai-27b
Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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