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

mlx-community/Yi-1.5-6B-Chat-4bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

Global Score
66 vs 73
Hardware Fit
100 vs 100
Quality Score
52 vs 62

Hardware

hf.co/empero-ai/Qw… mlx-community/Yi-1…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… mlx-community/Yi-1…
Tokens/sec40.229.1
First chunk325 ms451 ms
TTFT325 ms451 ms
Load time3.1 sN/A
Memory usage4.7 GB0.9 GB
Memory %30%3%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

mlx-community/Yi-1.5-6B…

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

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

mlx-community/Yi-1.5-6B…

Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
View hf.co/empero-ai/Qw… details | View mlx-community/Yi-1… 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