unsloth/gemma-4-e2b-it@q8_0
LM-STUDIO GGUFgemma4 · Q8_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5-2b-mlx
LM-STUDIO MLXqwen3_5 · 2B · 4bit
Mar 6, 2026 · Apple M4 Pro
Global Score
75 vs 65
Hardware Fit
74 vs 88
Quality Score
76 vs 55
Hardware
unsloth/gemma-4-e2… qwen3.5-2b-mlx
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
unsloth/gemma-4-e2… qwen3.5-2b-mlx
Tokens/sec13.048.9
First chunk62 ms4208 ms
TTFT1.5 s4.2 s
Load time7.8 sN/A
Memory usage0.0 GB1.6 GB
Memory %0%3%
HW Fit Score Breakdown
unsloth/gemma-4-e2b-it@…
Speed
24/50
TTFT
20/20
Memory
30/30
qwen3.5-2b-mlx
Speed
50/50
TTFT
8/20
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
qwen3.5-2b-mlx
Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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