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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen2.5:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Mar 1, 2026 · Apple M4

Global Score

77 vs 83

Hardware Fit

100 vs 80

Quality Score

67 vs 84

Hardware

mlx-community/meta… qwen2.5:14b

MachineMac miniMacBook Air

CPUApple M4 ProApple M4

Cores1410

RAM64 GB32 GB

GPUApple M4 ProApple M4

OSmacOS 15.7.4macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… qwen2.5:14b

Tokens/sec54.311.2

First chunk277 msN/A

TTFT277 ms539 ms

Load timeN/A1.0 s

Memory usage4.2 GB16.5 GB

Memory %7%52%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen2.5:14b

Speed

20/50

TTFT

30/20

Memory

30/30

Quality

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

qwen2.5:14b

Reasoning

17/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

10/15

Multilingual

10/10

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

View mlx-community/meta… details | View qwen2.5:14b 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