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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

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
66 vs 90
Hardware Fit
100 vs 97
Quality Score
52 vs 87

Hardware

hf.co/empero-ai/Qw… Qwen3.8-27B-UD-Q3_…
MachineMacBook Pro—
CPUApple M1 ProIntel Gen Intel® Core™ i5-12600K
Cores1016
RAM16 GB31 GB
GPUApple M1 ProAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

hf.co/empero-ai/Qw… Qwen3.8-27B-UD-Q3_…
Tokens/sec40.439.0
First chunk93 ms305 ms
TTFT93 ms305 ms
Load time2.7 s0.0 s
Memory usage4.7 GB12.5 GB
Memory %30%41%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

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-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View hf.co/empero-ai/Qw… details | View Qwen3.8-27B-UD-Q3_… 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