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qwen2.5-0.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 0.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
52 vs 83
Hardware Fit
100 vs 96
Quality Score
31 vs 78

Hardware

qwen2.5-0.5b-instr… google/gemma-4-e4b
MachineMacBook AirASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M4AMD Ryzen 9 8940HX
Cores1032
RAM32 GB15 GB
GPUApple M4NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.3Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… google/gemma-4-e4b
Tokens/sec257.535.9
First chunk99 ms9 ms
TTFT99 ms182 ms
Load timeN/AN/A
Memory usage0.3 GB6.5 GB
Memory %1%43%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct-mlx

Speed
50/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5-0.5b-instr… details | View google/gemma-4-e4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest