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qwen2.5-0.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 0.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

llama3.2:latest

OLLAMA GGUF

llama · 3.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

Global Score
52 vs 76
Hardware Fit
100 vs 100
Quality Score
31 vs 65

Hardware

qwen2.5-0.5b-instr… llama3.2:latest
MachineMacBook AirMicro-Star International Co., Ltd. MS-7B79
CPUApple M4AMD Ryzen 5 2600X Six-Core Processor
Cores1012
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce GTX 1080
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… llama3.2:latest
Tokens/sec257.557.0
First chunk99 ms264 ms
TTFT99 ms264 ms
Load timeN/A9.7 s
Memory usage0.3 GB2.6 GB
Memory %1%16%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct-mlx

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

llama3.2:latest

Speed
50/50
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

llama3.2:latest

Reasoning
11/20
Coding
15/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5-0.5b-instr… details | View llama3.2:latest 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