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adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
77 vs 59
Hardware Fit
100 vs 84
Quality Score
67 vs 48

Hardware

adityakale/kotakneo vicuna:13b
MachineAZW GTR ProMacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM125 GB32 GB
GPURadeon 8060SApple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

adityakale/kotakneo vicuna:13b
Tokens/sec81.213.4
First chunk183 msN/A
TTFT183 ms438 ms
Load time2.5 s0.6 s
Memory usage17.8 GB10.3 GB
Memory %14%32%

HW Fit Score Breakdown

adityakale/kotakneo

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

vicuna:13b

Speed
24/50
TTFT
30/20
Memory
30/30

Quality

adityakale/kotakneo

Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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