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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

minimax-m2.7:cloud

OLLAMA GGUF

minimax

Not Rec.

Apr 1, 2026 · Apple M4

Global Score
66 vs 74
Hardware Fit
100 vs 34
Quality Score
52 vs 91

Hardware

hf.co/empero-ai/Qw… minimax-m2.7:cloud
MachineMacBook ProMac mini
CPUApple M1 ProApple M4
Cores1010
RAM16 GB24 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… minimax-m2.7:cloud
Tokens/sec40.40.0
First chunk93 ms7588 ms
TTFT93 ms11.4 s
Load time2.7 s0.0 s
Memory usage4.7 GB0.7 GB
Memory %30%3%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

minimax-m2.7:cloud

Speed
0/50
TTFT
4/20
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

minimax-m2.7:cloud

Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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