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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

qwen3.6:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
76 vs 70
Hardware Fit
100 vs 66
Quality Score
66 vs 71

Hardware

hf.co/empero-ai/Qw… qwen3.6:35b
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
Tokens/sec40.330.6
First chunk101 ms304 ms
TTFT101 ms30.0 s
Load time2.7 s10.0 s
Memory usage4.5 GB28.1 GB
Memory %28%59%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.6:35b

Speed
45/50
TTFT
0/20
Memory
21/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.6:35b

Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen3.6:35b 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