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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

mlx-community/stablelm-2-zephyr-1_6b-4bit

LM-STUDIO GGUF

Marginal

Mar 5, 2026 · Apple M4

Global Score

77 vs 50

Hardware Fit

100 vs 100

Quality Score

67 vs 29

Hardware

mlx-community/meta… mlx-community/stab…

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… mlx-community/stab…

Tokens/sec54.393.6

First chunk277 ms166 ms

TTFT277 ms166 ms

Load timeN/AN/A

Memory usage4.2 GB0.7 GB

Memory %7%2%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

mlx-community/stablelm-…

Speed

50/50

TTFT

20/20

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

mlx-community/stablelm-…

Reasoning

7/20

Coding

2/20

Instruction

9/20

Structured

3/15

Math

4/15

Multilingual

4/10

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

View mlx-community/meta… details | View mlx-community/stab… 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