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

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

codestral:latest

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
45 vs 76
Hardware Fit
100 vs 91
Quality Score
21 vs 69

Hardware

mlx-community/quan… codestral:latest
MachineMacBook AirGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4Intel Core™ i5-14400F
Cores1016
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce RTX 5060 Ti
OSmacOS 26.3Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

mlx-community/quan… codestral:latest
Tokens/sec44.427.4
First chunk336 ms86 ms
TTFT336 ms86 ms
Load timeN/A7.2 s
Memory usage0.1 GB12.6 GB
Memory %0%40%

HW Fit Score Breakdown

mlx-community/quantized…

Speed
50/50
TTFT
20/20
Memory
30/30

codestral:latest

Speed
43/50
TTFT
20/20
Memory
28/30

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

codestral:latest

Reasoning
11/20
Coding
17/20
Instruction
11/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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