hf.co/InternScience/Agents-A1-4B-Q8_0-GGUF:Q8_0
OLLAMA GGUFqwen35 · 4.21B · unknown
Aug 22, 2026 · Apple M1 Pro
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
Global Score
59 vs 66
Hardware Fit
97 vs 100
Quality Score
43 vs 52
Hardware
hf.co/InternScienc… hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/InternScienc… hf.co/empero-ai/Qw…
Tokens/sec30.940.2
First chunk891 ms101 ms
TTFT891 ms101 ms
Load time3.6 s2.6 s
Memory usage6.6 GB4.7 GB
Memory %41%30%
HW Fit Score Breakdown
hf.co/InternScience/Age…
Speed
50/50
TTFT
20/20
Memory
27/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
hf.co/InternScience/Age…
Reasoning
13/20
Coding
15/20
Instruction
2/20
Structured
0/15
Math
13/15
Multilingual
0/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest