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microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
33 vs 89
Hardware Fit
100 vs 95
Quality Score
4 vs 87

Hardware

microllm-10m:latest qwen/qwen3-8b
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1214
RAM24 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.6.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

microllm-10m:latest qwen/qwen3-8b
Tokens/sec1544.833.4
First chunk12 ms257 ms
TTFT12 ms257 ms
Load time0.0 sN/A
Memory usage0.0 GB4.3 GB
Memory %0%7%

HW Fit Score Breakdown

microllm-10m:latest

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

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

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View microllm-10m:latest details | View qwen/qwen3-8b 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