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microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
34 vs 59
Hardware Fit
100 vs 97
Quality Score
6 vs 43

Hardware

microllm-250m:latest vicuna:7b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1210
RAM24 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

microllm-250m:latest vicuna:7b
Tokens/sec291.623.4
First chunk50 msN/A
TTFT79 ms242 ms
Load time0.0 s0.4 s
Memory usage0.6 GB5.8 GB
Memory %2%18%

HW Fit Score Breakdown

microllm-250m:latest

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

vicuna:7b

Speed
37/50
TTFT
30/20
Memory
30/30

Quality

microllm-250m:latest

Reasoning
1/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

vicuna:7b

Reasoning
8/20
Coding
4/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong 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