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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

nous-hermes2:latest

OLLAMA GGUF

llama · 11B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
66 vs 68
Hardware Fit
100 vs 87
Quality Score
52 vs 60

Hardware

hf.co/empero-ai/Qw… nous-hermes2:latest
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… nous-hermes2:latest
Tokens/sec40.415.9
First chunk93 msN/A
TTFT93 ms345 ms
Load time2.7 s0.4 s
Memory usage4.7 GB6.6 GB
Memory %30%21%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

nous-hermes2:latest

Speed
27/50
TTFT
30/20
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

nous-hermes2:latest

Reasoning
11/20
Coding
9/20
Instruction
12/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View hf.co/empero-ai/Qw… details | View nous-hermes2:latest details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest