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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
66 vs 70
Hardware Fit
100 vs 89
Quality Score
52 vs 62

Hardware

hf.co/empero-ai/Qw… yi-coder:9b
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… yi-coder:9b
Tokens/sec40.219.4
First chunk101 ms287 ms
TTFT101 ms287 ms
Load time2.6 s0.7 s
Memory usage4.7 GB9.6 GB
Memory %30%30%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

yi-coder:9b

Speed
39/50
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

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate
View hf.co/empero-ai/Qw… details | View yi-coder:9b details

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$ metrillm

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Or run without installing: npx metrillm@latest