qwen2.5-0.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 0.5B · 4bit
Mar 4, 2026 · Apple M4
gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
52 vs 81
Hardware Fit
100 vs 90
Quality Score
31 vs 77
Hardware
qwen2.5-0.5b-instr… gemma-4-e2b-it-qat
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen2.5-0.5b-instr… gemma-4-e2b-it-qat
Tokens/sec257.522.2
First chunk99 ms67 ms
TTFT99 ms1.1 s
Load timeN/A5.4 s
Memory usage0.3 GB0.0 GB
Memory %1%0%
HW Fit Score Breakdown
qwen2.5-0.5b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5-0.5b-instruct-mlx
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
gemma-4-e2b-it-qat
Reasoning
10/20
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
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