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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score

77 vs 79

Hardware Fit

100 vs 81

Quality Score

67 vs 78

Hardware

mlx-community/meta… gemma-4-e2b-it@q5_…

MachineMac miniDocker Container

CPUApple M4 ProIntel Gen Intel® Core™ i9-11900H

Cores1416

RAM64 GB15 GB

GPUApple M4 ProTigerLake-H GT1 [UHD Graphics]

OSmacOS 15.7.4Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

mlx-community/meta… gemma-4-e2b-it@q5_…

Tokens/sec54.317.2

First chunk277 ms7 ms

TTFT277 ms1.6 s

Load timeN/A8.9 s

Memory usage4.2 GB0.0 GB

Memory %7%0%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

gemma-4-e2b-it@q5_k_xl

Speed

32/50

TTFT

19/20

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

gemma-4-e2b-it@q5_k_xl

Reasoning

11/20

Coding

17/20

Instruction

17/20

Structured

15/15

Math

8/15

Multilingual

10/10

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

View mlx-community/meta… details | View gemma-4-e2b-it@q5_… 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