smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score

48 vs 89

Hardware Fit

98 vs 95

Quality Score

26 vs 87

Hardware

smollm2-360m-instr… qwen/qwen3-8b

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… qwen/qwen3-8b

Tokens/sec20.033.4

First chunk1116 ms257 ms

TTFT1.1 s257 ms

Load timeN/AN/A

Memory usage0.3 GB4.3 GB

Memory %2%7%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

28/30

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

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

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

View smollm2-360m-instr… details | View qwen/qwen3-8b details

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