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qwen2.5-0.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 0.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

Global Score
52 vs 88
Hardware Fit
100 vs 69
Quality Score
31 vs 96

Hardware

qwen2.5-0.5b-instr… orcarouter/Qwen3.8…
MachineMacBook AirASUS
CPUApple M4Intel Core™ i5-10400
Cores1012
RAM32 GB16 GB
GPUApple M4Todesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSmacOS 26.3Microsoft Windows 10 专业版 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… orcarouter/Qwen3.8…
Tokens/sec257.539.5
First chunk99 ms220 ms
TTFT99 ms3.2 s
Load timeN/A13.7 s
Memory usage0.3 GB14.2 GB
Memory %1%89%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct-mlx

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

orcarouter/Qwen3.8-27B-…

Speed
50/50
TTFT
14/20
Memory
5/30

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

orcarouter/Qwen3.8-27B-…

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5-0.5b-instr… details | View orcarouter/Qwen3.8… 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