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Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

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

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

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

Hardware

Qwen3.8-27B-UD-Q3_… hf.co/empero-ai/Qw…
Machine—MacBook Pro
CPUIntel Gen Intel® Core™ i5-12600KApple M4
Cores1610
RAM31 GB16 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.6.1
Archx64arm64
Power Modelow-powerbalanced

Performance

Qwen3.8-27B-UD-Q3_… hf.co/empero-ai/Qw…
Tokens/sec39.026.5
First chunk305 ms447 ms
TTFT305 ms447 ms
Load time0.0 s3.3 s
Memory usage12.5 GB4.8 GB
Memory %41%30%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

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

hf.co/empero-ai/Qwen3.8…

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

Quality

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

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View Qwen3.8-27B-UD-Q3_… details | View hf.co/empero-ai/Qw… 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