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

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma-4-26b-a4b-it@iq3_xxs

LM-STUDIO GGUF

gemma4 · 26B · IQ3_XXS

Excellent

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

Global Score

77 vs 83

Hardware Fit

100 vs 58

Quality Score

67 vs 94

Hardware

mlx-community/meta… gemma-4-26b-a4b-it…

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-4-26b-a4b-it…

Tokens/sec54.310.3

First chunk277 ms8 ms

TTFT277 ms3.5 s

Load timeN/A10.9 s

Memory usage4.2 GB6.4 GB

Memory %7%41%

HW Fit Score Breakdown

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

Memory

30/30

gemma-4-26b-a4b-it@iq3_…

Speed

19/50

TTFT

12/20

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

gemma-4-26b-a4b-it@iq3_…

Reasoning

18/20

Coding

19/20

Instruction

19/20

Structured

15/15

Math

14/15

Multilingual

9/10

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

View mlx-community/meta… details | View gemma-4-26b-a4b-it… 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