hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
qwen3-next-80b-t48:latest
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Jul 31, 2026 · Intel Xeon® E5-4620 0
Global Score
66 vs 70
Hardware Fit
100 vs 39
Quality Score
52 vs 83
Hardware
hf.co/empero-ai/Qw… qwen3-next-80b-t48…
MachineMacBook ProDell Inc. PowerEdge R820
CPUApple M1 ProIntel Xeon® E5-4620 0
Cores1064
RAM16 GB256 GB
GPUApple M1 ProMicrosoft Remote Display Adapter, Microsoft Basic Display Adapter
OSmacOS 26.6.2Microsoft Windows Server 2022 Datacenter 10.0.20348
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen3-next-80b-t48…
Tokens/sec40.43.0
First chunk93 ms3265 ms
TTFT93 ms3.3 s
Load time2.7 s82.1 s
Memory usage4.7 GB46.9 GB
Memory %30%18%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-next-80b-t48:latest
Speed
3/50
TTFT
6/20
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-next-80b-t48:latest
Reasoning
18/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak 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