qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

lfm2-24b-a2b

LM-STUDIO GGUF

Good

Mar 6, 2026 · Apple M4 Pro

Global Score

84 vs 78

Hardware Fit

97 vs 100

Quality Score

78 vs 68

Hardware

qwen2.5-7b-instruct lfm2-24b-a2b

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen2.5-7b-instruct lfm2-24b-a2b

Tokens/sec24.4105.9

First chunk464 ms252 ms

TTFT464 ms252 ms

Load timeN/AN/A

Memory usage4.0 GB0.1 GB

Memory %13%0%

HW Fit Score Breakdown

qwen2.5-7b-instruct

Speed

47/50

TTFT

20/20

Memory

30/30

lfm2-24b-a2b

Speed

50/50

TTFT

20/20

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

lfm2-24b-a2b

Reasoning

12/20

Coding

14/20

Instruction

12/20

Structured

13/15

Math

8/15

Multilingual

9/10

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

View qwen2.5-7b-instruct details | View lfm2-24b-a2b 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