qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score

84 vs 59

Hardware Fit

97 vs 84

Quality Score

78 vs 48

Hardware

qwen2.5-7b-instruct vicuna:13b

MachineMacBook AirMacBook Air

CPUApple M4Apple M4

Cores1010

RAM32 GB32 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen2.5-7b-instruct vicuna:13b

Tokens/sec24.413.4

First chunk464 msN/A

TTFT464 ms438 ms

Load timeN/A0.6 s

Memory usage4.0 GB10.3 GB

Memory %13%32%

HW Fit Score Breakdown

qwen2.5-7b-instruct

Speed

47/50

TTFT

20/20

Memory

30/30

vicuna:13b

Speed

24/50

TTFT

30/20

Memory

30/30

Quality

qwen2.5-7b-instruct

Reasoning

14/20

Coding

17/20

Instruction

15/20

Structured

15/15

Math

8/15

Multilingual

9/10

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

vicuna:13b

Reasoning

7/20

Coding

5/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

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

View qwen2.5-7b-instruct details | View vicuna:13b 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