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qwen2.5-0.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 0.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

llama3:latest

OLLAMA GGUF

llama · 8.0B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
52 vs 71
Hardware Fit
100 vs 95
Quality Score
31 vs 60

Hardware

qwen2.5-0.5b-instr… llama3:latest
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… llama3:latest
Tokens/sec257.522.3
First chunk99 msN/A
TTFT99 ms295 ms
Load timeN/A0.8 s
Memory usage0.3 GB5.6 GB
Memory %1%18%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct-mlx

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

llama3:latest

Speed
35/50
TTFT
30/20
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:latest

Reasoning
9/20
Coding
9/20
Instruction
15/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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