hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
qwen3.5:35b-a3b-q4_K_M
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Aug 22, 2026 · Intel Xeon® E5-2637 v3
Global Score
66 vs 82
Hardware Fit
100 vs 69
Quality Score
52 vs 87
Hardware
hf.co/empero-ai/Qw… qwen3.5:35b-a3b-q4…
MachineMacBook ProDell Inc. Precision Tower 7910
CPUApple M1 ProIntel Xeon® E5-2637 v3
Cores1016
RAM16 GB96 GB
GPUApple M1 ProNVIDIA GeForce RTX 3090, NVIDIA GeForce RTX 3060
OSmacOS 26.6.2Microsoft Windows 10 Pro 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen3.5:35b-a3b-q4…
Tokens/sec40.220.4
First chunk101 ms1362 ms
TTFT101 ms1.4 s
Load time2.6 s34.2 s
Memory usage4.7 GB22.7 GB
Memory %30%24%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:35b-a3b-q4_K_M
Speed
23/50
TTFT
16/20
Memory
30/30
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
qwen3.5:35b-a3b-q4_K_M
Reasoning
17/20
Coding
17/20
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