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microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

qwen2.5-math-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

Global Score
33 vs 45
Hardware Fit
100 vs 99
Quality Score
4 vs 22

Hardware

microllm-10m:latest qwen2.5-math-1.5b-…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1210
RAM24 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

microllm-10m:latest qwen2.5-math-1.5b-…
Tokens/sec1544.891.7
First chunk12 ms205 ms
TTFT12 ms205 ms
Load time0.0 sN/A
Memory usage0.0 GB0.8 GB
Memory %0%3%

HW Fit Score Breakdown

microllm-10m:latest

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

qwen2.5-math-1.5b-instr…

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

Quality

microllm-10m:latest

Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

qwen2.5-math-1.5b-instr…

Reasoning
2/20
Coding
0/20
Instruction
3/20
Structured
1/15
Math
14/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View microllm-10m:latest details | View qwen2.5-math-1.5b-… 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