qwen3.5:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Mar 10, 2026 · Apple M4
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
66 vs 66
Hardware Fit
34 vs 100
Quality Score
80 vs 52
Hardware
qwen3.5:27b hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:27b hf.co/empero-ai/Qw…
Tokens/sec4.040.2
First chunk1655 ms325 ms
TTFT1.7 s325 ms
Load time12.9 s3.1 s
Memory usage21.3 GB4.7 GB
Memory %89%30%
HW Fit Score Breakdown
qwen3.5:27b
Speed
8/50
TTFT
20/20
Memory
6/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:27b
Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
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