unsloth/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
Global Score
79 vs 59
Hardware Fit
69 vs 94
Quality Score
83 vs 44
Hardware
unsloth/gemma-4-e4… text-embedding-nom…
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced
Performance
unsloth/gemma-4-e4… text-embedding-nom…
Tokens/sec12.145.3
First chunk40 ms2440 ms
TTFT2.1 s2.4 s
Load time7.2 sN/A
Memory usage0.8 GB0.0 GB
Memory %6%0%
HW Fit Score Breakdown
unsloth/gemma-4-e4b-it-…
Speed
22/50
TTFT
17/20
Memory
30/30
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
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
text-embedding-nomic-em…
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest