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adityakale/kotakneo

OLLAMA GGUF
Good

Aug 5, 2026 · AMD RYZEN AI MAX+ 395

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
77 vs 87
Hardware Fit
100 vs 83
Quality Score
67 vs 88

Hardware

adityakale/kotakneo qwen/qwen3.8-27b
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Max
Cores3216
RAM125 GB128 GB
GPURadeon 8060SApple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archx64arm64
Power Modelow-powerbalanced

Performance

adityakale/kotakneo qwen/qwen3.8-27b
Tokens/sec81.229.1
First chunk183 ms9 ms
TTFT183 ms650 ms
Load time2.5 sN/A
Memory usage17.8 GB21.0 GB
Memory %14%16%

HW Fit Score Breakdown

adityakale/kotakneo

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

qwen/qwen3.8-27b

Speed
33/50
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

qwen/qwen3.8-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View adityakale/kotakneo details | View qwen/qwen3.8-27b 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