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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score

77 vs 50

Hardware Fit

100 vs 97

Quality Score

67 vs 30

Hardware

mlx-community/meta… gemma3:270m

MachineMac miniMacBook Pro

CPUApple M4 ProApple M3 Pro

Cores1412

RAM64 GB36 GB

GPUApple M4 ProApple M3 Pro

OSmacOS 15.7.4macOS 15.7.5

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… gemma3:270m

Tokens/sec54.3239.2

First chunk277 ms127 ms

TTFT277 ms127 ms

Load timeN/A0.7 s

Memory usage4.2 GB0.6 GB

Memory %7%2%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

gemma3:270m

Speed

50/50

TTFT

20/20

Memory

27/30

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

gemma3:270m

Reasoning

4/20

Coding

2/20

Instruction

10/20

Structured

8/15

Math

1/15

Multilingual

5/10

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

View mlx-community/meta… details | View gemma3:270m 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