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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

gpt-oss-orchestrator:latest

OLLAMA GGUF

gptoss · 20.9B · MXFP4

Excellent

Mar 19, 2026 · Apple M4

Global Score
66 vs 88
Hardware Fit
100 vs 80
Quality Score
52 vs 91

Hardware

hf.co/empero-ai/Qw… gpt-oss-orchestrat…
MachineMacBook ProMac mini
CPUApple M1 ProApple M4
Cores1010
RAM16 GB24 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… gpt-oss-orchestrat…
Tokens/sec40.224.6
First chunk325 ms525 ms
TTFT325 ms4.8 s
Load time3.1 s8.5 s
Memory usage4.7 GB13.8 GB
Memory %30%58%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

gpt-oss-orchestrator:la…

Speed
49/50
TTFT
10/20
Memory
21/30

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

gpt-oss-orchestrator:la…

Reasoning
19/20
Coding
19/20
Instruction
13/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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