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qwen2.5:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Mar 2, 2026 · Apple M4

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
57 vs 65
Hardware Fit
100 vs 99
Quality Score
39 vs 51

Hardware

qwen2.5:0.5b smollm2-1.7b-instr…
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 smollm2-1.7b-instr…
Tokens/sec165.028.5
First chunkN/A393 ms
TTFT81 ms393 ms
Load time0.5 sN/A
Memory usage1.7 GB3.2 GB
Memory %5%10%

HW Fit Score Breakdown

qwen2.5:0.5b

Speed
40/50
TTFT
30/20
Memory
30/30

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

qwen2.5:0.5b

Reasoning
6/20
Coding
6/20
Instruction
7/20
Structured
11/15
Math
5/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

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