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minimax-m2.7:cloud

OLLAMA GGUF

minimax

Not Rec.

Apr 1, 2026 · Apple M4

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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

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

Hardware

minimax-m2.7:cloud hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

minimax-m2.7:cloud hf.co/empero-ai/Qw…
Tokens/sec0.040.4
First chunk7588 ms93 ms
TTFT11.4 s93 ms
Load time0.0 s2.7 s
Memory usage0.7 GB4.7 GB
Memory %3%30%

HW Fit Score Breakdown

minimax-m2.7:cloud

Speed
0/50
TTFT
4/20
Memory
30/30

hf.co/empero-ai/Qwen3.8…

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

Quality

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

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

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