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microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
34 vs 74
Hardware Fit
100 vs 41
Quality Score
6 vs 88

Hardware

microllm-250m:latest muse-glimmer
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1232
RAM24 GB125 GB
GPUApple M4 ProRadeon 8060S
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

microllm-250m:latest muse-glimmer
Tokens/sec291.612.1
First chunk50 ms8749 ms
TTFT79 ms8.7 s
Load time0.0 s0.3 s
Memory usage0.6 GB0.0 GB
Memory %2%0%

HW Fit Score Breakdown

microllm-250m:latest

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

muse-glimmer

Speed
10/50
TTFT
1/20
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

muse-glimmer

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View microllm-250m:latest details | View muse-glimmer 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