mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
adityakale/kotakneo
OLLAMA GGUFAug 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
77 vs 77
Hardware Fit
100 vs 100
Quality Score
67 vs 67
Hardware
mlx-community/meta… adityakale/kotakneo
MachineMac miniAZW GTR Pro
CPUApple M4 ProAMD RYZEN AI MAX+ 395
Cores1432
RAM64 GB125 GB
GPUApple M4 ProRadeon 8060S
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
mlx-community/meta… adityakale/kotakneo
Tokens/sec54.381.2
First chunk277 ms183 ms
TTFT277 ms183 ms
Load timeN/A2.5 s
Memory usage4.2 GB17.8 GB
Memory %7%14%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
adityakale/kotakneo
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest