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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

qwen3.8:27b

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Excellent

Aug 15, 2026 · Cortex-X925

Global Score
66 vs 85
Hardware Fit
100 vs 79
Quality Score
52 vs 87

Hardware

hf.co/empero-ai/Qw… qwen3.8:27b
MachineMacBook ProASUSTeK COMPUTER INC. GX10
CPUApple M1 ProCortex-X925
Cores1020
RAM16 GB122 GB
GPUApple M1 ProDevice 2e12
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

hf.co/empero-ai/Qw… qwen3.8:27b
Tokens/sec40.227.4
First chunk101 ms593 ms
TTFT101 ms593 ms
Load time2.6 s0.3 s
Memory usage4.7 GB18.2 GB
Memory %30%15%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.8:27b

Speed
29/50
TTFT
20/20
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

qwen3.8:27b

Reasoning
18/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen3.8:27b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest