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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-ridge

LM-STUDIO GGUF

qwen35 · 27B

Excellent

Aug 20, 2026 · AMD Ryzen 7 9700X 8-Core Processor

Global Score
66 vs 88
Hardware Fit
100 vs 97
Quality Score
52 vs 84

Hardware

hf.co/empero-ai/Qw… qwen3.8-27b-ridge
MachineMacBook ProMicro-Star International Co., Ltd. MS-7E51
CPUApple M1 ProAMD Ryzen 7 9700X 8-Core Processor
Cores1016
RAM16 GB31 GB
GPUApple M1 ProNVIDIA GeForce RTX 5080, AMD Radeon(TM) Graphics
OSmacOS 26.6.2Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen3.8-27b-ridge
Tokens/sec40.453.8
First chunk93 ms25 ms
TTFT93 ms282 ms
Load time2.7 sN/A
Memory usage4.7 GB12.6 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-ridge

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-ridge

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
14/15
Math
10/15
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-ridge 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