smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

internlm2:7b

OLLAMA GGUF

internlm2 · 7.7B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score

52 vs 77

Hardware Fit

100 vs 95

Quality Score

32 vs 69

Hardware

smollm2-360m-instr… internlm2:7b

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

smollm2-360m-instr… internlm2:7b

Tokens/sec121.122.7

First chunk106 ms250 ms

TTFT106 ms250 ms

Load timeN/A0.7 s

Memory usage0.7 GB10.6 GB

Memory %2%33%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

internlm2:7b

Speed

45/50

TTFT

20/20

Memory

30/30

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

internlm2:7b

Reasoning

12/20

Coding

10/20

Instruction

13/20

Structured

14/15

Math

11/15

Multilingual

9/10

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

View smollm2-360m-instr… details | View internlm2:7b 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