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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

Global Score
78 vs 83
Hardware Fit
68 vs 90
Quality Score
82 vs 80

Hardware

google/gemma-4-e4b… ministral-3-14b-in…
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 7 7800X3D 8-Core Processor
Cores1616
RAM15 GB31 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 4090, Raphael
OSUbuntu 26.04 LTScachyos rolling
Archx64x64
Power Modeperformancelow-power

Performance

google/gemma-4-e4b… ministral-3-14b-in…
Tokens/sec11.483.7
First chunk26 ms16 ms
TTFT2.2 s117 ms
Load time5.9 sN/A
Memory usage0.0 GB18.2 GB
Memory %0%60%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

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

ministral-3-14b-instruc…

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

Quality

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

ministral-3-14b-instruc…

Reasoning
17/20
Coding
17/20
Instruction
15/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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