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lmstudio-community/Phi-4-reasoning-plus-MLX-4bit

LM-STUDIO GGUF
Not Rec.

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
33 vs 78
Hardware Fit
74 vs 68
Quality Score
15 vs 82

Hardware

lmstudio-community… 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

lmstudio-community… google/gemma-4-e4b…
Tokens/sec11.511.4
First chunk670 ms26 ms
TTFT670 ms2.2 s
Load timeN/A5.9 s
Memory usage3.0 GB0.0 GB
Memory %9%0%

HW Fit Score Breakdown

lmstudio-community/Phi-…

Speed
24/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

Quality

lmstudio-community/Phi-…

Reasoning
8/20
Coding
1/20
Instruction
1/20
Structured
1/15
Math
1/15
Multilingual
3/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Weak

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

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