hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S
OLLAMA GGUFqwen35 · 27.3B · unknown
Aug 23, 2026 · Apple M1 Pro
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
22 vs 66
Hardware Fit
46 vs 100
Quality Score
12 vs 52
Hardware
hf.co/unsloth/Qwen… 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/unsloth/Qwen… hf.co/empero-ai/Qw…
Tokens/sec6.140.2
First chunk3229 ms325 ms
TTFT3.2 s325 ms
Load time6.3 s3.1 s
Memory usage10.6 GB4.7 GB
Memory %66%30%
HW Fit Score Breakdown
hf.co/unsloth/Qwen3.8-2…
Speed
15/50
TTFT
14/20
Memory
17/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
hf.co/unsloth/Qwen3.8-2…
Reasoning
1/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak 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
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest