smollm2-360m-instruct
LM-STUDIO MLXllama · 360M · bf16
Mar 4, 2026 · Apple M4
orcarouter/Qwen3.8-27B-Uncensored:iq4_xs
OLLAMA GGUFqwen35 · 27.3B · IQ4_XS
Sep 11, 2026 · Intel Core™ i5-10400
Global Score
52 vs 88
Hardware Fit
100 vs 69
Quality Score
32 vs 96
Hardware
smollm2-360m-instr… orcarouter/Qwen3.8…
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-10400
Cores1012
RAM32 GB16 GB
GPUApple M4Todesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSmacOS 26.3Microsoft Windows 10 专业版 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
smollm2-360m-instr… orcarouter/Qwen3.8…
Tokens/sec121.139.5
First chunk106 ms220 ms
TTFT106 ms3.2 s
Load timeN/A13.7 s
Memory usage0.7 GB14.2 GB
Memory %2%89%
HW Fit Score Breakdown
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
orcarouter/Qwen3.8-27B-…
Speed
50/50
TTFT
14/20
Memory
5/30
Quality
smollm2-360m-instruct
Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak
orcarouter/Qwen3.8-27B-…
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
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