hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
Qwen3-80B:80B
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor
Global Score
66 vs 62
Hardware Fit
100 vs 10
Quality Score
52 vs 84
Hardware
hf.co/empero-ai/Qw… Qwen3-80B:80B
MachineMacBook ProHP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUApple M1 ProAMD Ryzen 9 9955HX3D 16-Core Processor
Cores1032
RAM16 GB31 GB
GPUApple M1 ProAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSmacOS 26.6.2Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… Qwen3-80B:80B
Tokens/sec40.24.9
First chunk101 ms8006 ms
TTFT101 ms8.0 s
Load time2.6 s63.7 s
Memory usage4.7 GB47.3 GB
Memory %30%153%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Qwen3-80B:80B
Speed
6/50
TTFT
4/20
Memory
0/30
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
Qwen3-80B:80B
Reasoning
17/20
Coding
19/20
Instruction
13/20
Structured
13/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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