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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

qwen3.6:35b-a3b-coding-nvfp4

OLLAMA GGUF

nvfp4

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
66 vs 76
Hardware Fit
100 vs 77
Quality Score
52 vs 76

Hardware

hf.co/empero-ai/Qw… qwen3.6:35b-a3b-co…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB48 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen3.6:35b-a3b-co…
Tokens/sec40.272.7
First chunk325 ms147 ms
TTFT325 ms30.0 s
Load time3.1 s5.7 s
Memory usage4.7 GB19.6 GB
Memory %30%41%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.6:35b-a3b-coding-…

Speed
50/50
TTFT
0/20
Memory
27/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

qwen3.6:35b-a3b-coding-…

Reasoning
19/20
Coding
9/20
Instruction
13/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen3.6:35b-a3b-co… details

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