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smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
48 vs 90
Hardware Fit
98 vs 78
Quality Score
26 vs 95

Hardware

smollm2-360m-instr… gemma4:e4b-mlx
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M2 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M2 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

smollm2-360m-instr… gemma4:e4b-mlx
Tokens/sec20.046.1
First chunk1116 ms284 ms
TTFT1.1 s3.9 s
Load timeN/A0.1 s
Memory usage0.3 GB10.8 GB
Memory %2%68%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
28/30

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

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

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest