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adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

Global Score
77 vs 36
Hardware Fit
100 vs 100
Quality Score
67 vs 8

Hardware

adityakale/kotakneo qwen36-distill-apex
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M5 Max
Cores3218
RAM125 GB64 GB
GPURadeon 8060SApple M5 Max
OSUbuntu 24.04.4 LTSmacOS 27.0
Archx64arm64
Power Modelow-powerbalanced

Performance

adityakale/kotakneo qwen36-distill-apex
Tokens/sec81.255.2
First chunk183 ms210 ms
TTFT183 ms210 ms
Load time2.5 s4.8 s
Memory usage17.8 GB0.9 GB
Memory %14%2%

HW Fit Score Breakdown

adityakale/kotakneo

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

qwen36-distill-apex

Speed
50/50
TTFT
20/20
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

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View adityakale/kotakneo details | View qwen36-distill-apex details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest