qwen2.5-math-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

45 vs 77

Hardware Fit

99 vs 100

Quality Score

22 vs 67

Hardware

qwen2.5-math-1.5b-… mlx-community/meta…

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-math-1.5b-… mlx-community/meta…

Tokens/sec91.754.3

First chunk205 ms277 ms

TTFT205 ms277 ms

Load timeN/AN/A

Memory usage0.8 GB4.2 GB

Memory %3%7%

HW Fit Score Breakdown

qwen2.5-math-1.5b-instr…

Speed

50/50

TTFT

20/20

Memory

29/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

qwen2.5-math-1.5b-instr…

Reasoning

2/20

Coding

0/20

Instruction

3/20

Structured

1/15

Math

14/15

Multilingual

2/10

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View qwen2.5-math-1.5b-… details | View mlx-community/meta… 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