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mlx-community/Nanbeige4.1-3B-8bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

google/gemma-4-12b-it-qat

LM-STUDIO GGUF

gemma4 · 12B · Q4_0

Good

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

Global Score
53 vs 74
Hardware Fit
99 vs 46
Quality Score
33 vs 86

Hardware

mlx-community/Nanb… google/gemma-4-12b…
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/Nanb… google/gemma-4-12b…
Tokens/sec25.45.0
First chunk266 ms64 ms
TTFT266 ms5.5 s
Load timeN/A9.5 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

mlx-community/Nanbeige4…

Speed
49/50
TTFT
20/20
Memory
30/30

google/gemma-4-12b-it-qat

Speed
9/50
TTFT
7/20
Memory
30/30

Quality

mlx-community/Nanbeige4…

Reasoning
10/20
Coding
7/20
Instruction
1/20
Structured
1/15
Math
11/15
Multilingual
3/10
Reasoning: Adequate Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Weak

google/gemma-4-12b-it-qat

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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