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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

dolphin-phi:2.7b

OLLAMA GGUF

phi2 · 3B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
66 vs 61
Hardware Fit
100 vs 100
Quality Score
52 vs 44

Hardware

hf.co/empero-ai/Qw… dolphin-phi:2.7b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… dolphin-phi:2.7b
Tokens/sec40.456.1
First chunk93 msN/A
TTFT93 ms108 ms
Load time2.7 s0.4 s
Memory usage4.7 GB2.2 GB
Memory %30%7%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

dolphin-phi:2.7b

Speed
40/50
TTFT
30/20
Memory
30/30

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

dolphin-phi:2.7b

Reasoning
10/20
Coding
6/20
Instruction
12/20
Structured
2/15
Math
9/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Adequate
View hf.co/empero-ai/Qw… details | View dolphin-phi:2.7b 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