Back to leaderboard

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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

ornith-1.5-35b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_M

Excellent

Aug 21, 2026 · AMD Ryzen 7 9700X 8-Core Processor

Global Score
66 vs 85
Hardware Fit
100 vs 88
Quality Score
52 vs 84

Hardware

hf.co/empero-ai/Qw… ornith-1.5-35b
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… ornith-1.5-35b
Tokens/sec40.280.4
First chunk325 ms24 ms
TTFT325 ms231 ms
Load time3.1 sN/A
Memory usage4.7 GB20.2 GB
Memory %30%65%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

ornith-1.5-35b

Speed
50/50
TTFT
20/20
Memory
18/30

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

ornith-1.5-35b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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