google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · Q4_K_M
Jul 7, 2026 · AMD Ryzen 7 5800H
qwen2.5-0.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 0.5B · 4bit
Mar 4, 2026 · Apple M4
Global Score
68 vs 52
Hardware Fit
93 vs 100
Quality Score
57 vs 31
Hardware
google/gemma-4-e4b qwen2.5-0.5b-instr…
MachineLENOVO 82JQMacBook Air
CPUAMD Ryzen 7 5800HApple M4
Cores1610
RAM16 GB32 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M4
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b qwen2.5-0.5b-instr…
Tokens/sec26.2257.5
First chunk17 ms99 ms
TTFT572 ms99 ms
Load timeN/AN/A
Memory usage6.5 GB0.3 GB
Memory %41%1%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
46/50
TTFT
20/20
Memory
27/30
qwen2.5-0.5b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
google/gemma-4-e4b
Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
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
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