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mlx-community/Llama-3.2-1B-Instruct-4bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

Global Score
57 vs 20
Hardware Fit
100 vs 34
Quality Score
39 vs 14

Hardware

mlx-community/Llam… qwen3.6:27b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/Llam… qwen3.6:27b
Tokens/sec126.410.6
First chunk139 ms1344 ms
TTFT139 ms30.0 s
Load timeN/A0.2 s
Memory usage0.3 GB18.1 GB
Memory %1%75%

HW Fit Score Breakdown

mlx-community/Llama-3.2…

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

qwen3.6:27b

Speed
22/50
TTFT
0/20
Memory
12/30

Quality

mlx-community/Llama-3.2…

Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate

qwen3.6:27b

Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate

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