mlx-community/quantized-gemma-2b-it

LM-STUDIO GGUF

Marginal

Mar 5, 2026 · Apple M4

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score

45 vs 61

Hardware Fit

100 vs 85

Quality Score

21 vs 51

Hardware

mlx-community/quan… qwen3:0.6b

MachineMacBook AirLENOVO 20L7CTO1WW

CPUApple M4Intel Core™ i5-8350U

Cores108

RAM32 GB23 GB

GPUApple M4Kaby Lake-R GT2 [UHD Graphics 620]

OSmacOS 26.3Fedora Linux 43

Archarm64x64

Power Modebalancedlow-power

Performance

mlx-community/quan… qwen3:0.6b

Tokens/sec44.427.0

First chunk336 ms597 ms

TTFT336 ms8.7 s

Load timeN/A1.8 s

Memory usage0.1 GB0.9 GB

Memory %0%4%

HW Fit Score Breakdown

mlx-community/quantized…

Speed

50/50

TTFT

20/20

Memory

30/30

qwen3:0.6b

Speed

50/50

TTFT

5/20

Memory

30/30

Quality

mlx-community/quantized…

Reasoning

4/20

Coding

1/20

Instruction

9/20

Structured

4/15

Math

2/15

Multilingual

1/10

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

qwen3:0.6b

Reasoning

14/20

Coding

0/20

Instruction

9/20

Structured

12/15

Math

9/15

Multilingual

7/10

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

View mlx-community/quan… details | View qwen3:0.6b 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