unsloth/gemma-4-e2b-it@q8_0
LM-STUDIO GGUFgemma4 · Q8_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5:4b-mlx
OLLAMA GGUFnvfp4
Aug 25, 2026 · Apple M1 Pro
Global Score
75 vs 68
Hardware Fit
74 vs 91
Quality Score
76 vs 58
Hardware
unsloth/gemma-4-e2… qwen3.5:4b-mlx
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-e2… qwen3.5:4b-mlx
Tokens/sec13.042.2
First chunk62 ms201 ms
TTFT1.5 s4.4 s
Load time7.8 s0.0 s
Memory usage0.0 GB3.8 GB
Memory %0%24%
HW Fit Score Breakdown
unsloth/gemma-4-e2b-it@…
Speed
24/50
TTFT
20/20
Memory
30/30
qwen3.5:4b-mlx
Speed
50/50
TTFT
11/20
Memory
30/30
Quality
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
qwen3.5:4b-mlx
Reasoning
16/20
Coding
2/20
Instruction
13/20
Structured
7/15
Math
11/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Weak 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