hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
qwen3.5:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Global Score
66 vs 79
Hardware Fit
100 vs 57
Quality Score
52 vs 89
Hardware
hf.co/empero-ai/Qw… qwen3.5:27b
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores1032
RAM16 GB125 GB
GPUApple M1 ProIntegrated / Apple Silicon
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance
Performance
hf.co/empero-ai/Qw… qwen3.5:27b
Tokens/sec40.210.7
First chunk101 ms341 ms
TTFT101 ms341 ms
Load time2.6 s10.2 s
Memory usage4.7 GB39.7 GB
Memory %30%32%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:27b
Speed
9/50
TTFT
20/20
Memory
28/30
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
qwen3.5:27b
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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