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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma3:4b

OLLAMA GGUF

gemma3 · 4.3B · Q4_K_M

Marginal

Jun 25, 2026 · Cortex-A78AE

Global Score

77 vs 46

Hardware Fit

100 vs 93

Quality Score

67 vs 26

Hardware

mlx-community/meta… gemma3:4b

MachineMac miniNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super

CPUApple M4 ProCortex-A78AE

Cores146

RAM64 GB7 GB

GPUApple M4 ProIntegrated / Unknown

OSmacOS 15.7.4Ubuntu 22.04.5 LTS

Archarm64arm64

Power Modebalancedbalanced

Performance

mlx-community/meta… gemma3:4b

Tokens/sec54.314.9

First chunk277 ms2204 ms

TTFT277 ms2.2 s

Load timeN/A2.0 s

Memory usage4.2 GB2.6 GB

Memory %7%35%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

gemma3:4b

Speed

45/50

TTFT

19/20

Memory

29/30

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

gemma3:4b

Reasoning

11/20

Coding

11/20

Instruction

0/20

Structured

0/15

Math

4/15

Multilingual

0/10

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

View mlx-community/meta… details | View gemma3:4b 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