smollm2-360m-instruct
LM-STUDIO GGUFllama · 360M · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
gemma-3-27b-it-qat
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
48 vs 76
Hardware Fit
98 vs 51
Quality Score
26 vs 87
Hardware
smollm2-360m-instr… gemma-3-27b-it-qat
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
smollm2-360m-instr… gemma-3-27b-it-qat
Tokens/sec20.08.9
First chunk1116 ms3976 ms
TTFT1.1 s4.0 s
Load timeN/AN/A
Memory usage0.3 GB15.7 GB
Memory %2%25%
HW Fit Score Breakdown
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
28/30
gemma-3-27b-it-qat
Speed
12/50
TTFT
9/20
Memory
30/30
Quality
smollm2-360m-instruct
Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Weak
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest