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unsloth/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Good

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

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
79 vs 80
Hardware Fit
69 vs 95
Quality Score
83 vs 73

Hardware

unsloth/gemma-4-e4… lfm2.5:8b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/gemma-4-e4… lfm2.5:8b
Tokens/sec12.198.5
First chunk40 ms167 ms
TTFT2.1 s2.5 s
Load time7.2 s3.0 s
Memory usage0.8 GB6.0 GB
Memory %6%37%

HW Fit Score Breakdown

unsloth/gemma-4-e4b-it-…

Speed
22/50
TTFT
17/20
Memory
30/30

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

Quality

unsloth/gemma-4-e4b-it-…

Reasoning
15/20
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

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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