hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16
OLLAMA GGUFllama · 2.99B · BF16
Aug 26, 2026 · Apple M1 Pro
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
64 vs 66
Hardware Fit
92 vs 100
Quality Score
52 vs 52
Hardware
hf.co/bartowski/ai… hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M4
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/bartowski/ai… hf.co/empero-ai/Qw…
Tokens/sec29.926.5
First chunk108 ms447 ms
TTFT108 ms447 ms
Load time3.4 s3.3 s
Memory usage8.9 GB4.8 GB
Memory %56%30%
HW Fit Score Breakdown
hf.co/bartowski/ai9star…
Speed
50/50
TTFT
20/20
Memory
22/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
hf.co/bartowski/ai9star…
Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest