mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF

Good

Mar 5, 2026 · Apple M4

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score

73 vs 78

Hardware Fit

100 vs 68

Quality Score

62 vs 82

Hardware

mlx-community/Yi-1… google/gemma-4-e4b…

MachineMacBook AirDocker Container

CPUApple M4Intel Gen Intel® Core™ i9-11900H

Cores1016

RAM32 GB15 GB

GPUApple M4TigerLake-H GT1 [UHD Graphics]

OSmacOS 26.3Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

mlx-community/Yi-1… google/gemma-4-e4b…

Tokens/sec29.111.4

First chunk451 ms26 ms

TTFT451 ms2.2 s

Load timeN/A5.9 s

Memory usage0.9 GB0.0 GB

Memory %3%0%

HW Fit Score Breakdown

mlx-community/Yi-1.5-6B…

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-4-e4b-it-qat

Speed

21/50

TTFT

17/20

Memory

30/30

Quality

mlx-community/Yi-1.5-6B…

Reasoning

10/20

Coding

11/20

Instruction

13/20

Structured

13/15

Math

9/15

Multilingual

6/10

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

google/gemma-4-e4b-it-qat

Reasoning

14/20

Coding

18/20

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/Yi-1… details | View google/gemma-4-e4b… 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