Back to leaderboard

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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

hf.co/lmstudio-community/gemma-4-E4B-it-GGUF:Q6_K

OLLAMA GGUF

gemma4 · 7.52B · unknown

Excellent

Aug 23, 2026 · Apple M1 Pro

Global Score
76 vs 88
Hardware Fit
100 vs 100
Quality Score
66 vs 83

Hardware

hf.co/empero-ai/Qw… hf.co/lmstudio-com…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… hf.co/lmstudio-com…
Tokens/sec40.334.6
First chunk101 ms210 ms
TTFT101 ms210 ms
Load time2.7 s4.0 s
Memory usage4.5 GB3.9 GB
Memory %28%25%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

hf.co/lmstudio-communit…

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

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

hf.co/lmstudio-communit…

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View hf.co/lmstudio-com… 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