qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

llama2:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score

84 vs 56

Hardware Fit

97 vs 84

Quality Score

78 vs 44

Hardware

qwen2.5-7b-instruct llama2:13b

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 llama2:13b

Tokens/sec24.413.5

First chunk464 msN/A

TTFT464 ms415 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

llama2:13b

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

llama2:13b

Reasoning

9/20

Coding

3/20

Instruction

13/20

Structured

7/15

Math

3/15

Multilingual

9/10

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

View qwen2.5-7b-instruct details | View llama2:13b 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