google/gemma-4-26b-a4b-it-qat
LM-STUDIO GGUFgemma4 · 26B · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
unsloth/gemma-4-e2b-it@q8_0
LM-STUDIO GGUFgemma4 · Q8_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
82 vs 75
Hardware Fit
56 vs 74
Quality Score
93 vs 76
Hardware
google/gemma-4-26b… unsloth/gemma-4-e2…
MachineDocker ContainerDocker Container
CPUIntel Gen Intel® Core™ i9-11900HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]TigerLake-H GT1 [UHD Graphics]
OSUbuntu 26.04 LTSUbuntu 26.04 LTS
Archx64x64
Power Modeperformanceperformance
Performance
google/gemma-4-26b… unsloth/gemma-4-e2…
Tokens/sec12.013.0
First chunk86 ms62 ms
TTFT2.8 s1.5 s
Load time57.2 s7.8 s
Memory usage9.1 GB0.0 GB
Memory %59%0%
HW Fit Score Breakdown
google/gemma-4-26b-a4b-…
Speed
22/50
TTFT
14/20
Memory
20/30
unsloth/gemma-4-e2b-it@…
Speed
24/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-26b-a4b-…
Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
unsloth/gemma-4-e2b-it@…
Reasoning
11/20
Coding
16/20
Instruction
16/20
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest