gemma-4-e2b-it@q5_k_xl
LM-STUDIO GGUFgemma4 · Q5_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
lfm2-24b-a2b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
79 vs 78
Hardware Fit
81 vs 100
Quality Score
78 vs 68
Hardware
gemma-4-e2b-it@q5_… lfm2-24b-a2b
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Pro
Cores1614
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Pro
OSUbuntu 26.04 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it@q5_… lfm2-24b-a2b
Tokens/sec17.2105.9
First chunk7 ms252 ms
TTFT1.6 s252 ms
Load time8.9 sN/A
Memory usage0.0 GB0.1 GB
Memory %0%0%
HW Fit Score Breakdown
gemma-4-e2b-it@q5_k_xl
Speed
32/50
TTFT
19/20
Memory
30/30
lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma-4-e2b-it@q5_k_xl
Reasoning
11/20
Coding
17/20
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
lfm2-24b-a2b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest