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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

qwen3-next-80b-t48:latest

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Not Rec.

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/sec40.23.0
First chunk101 ms3265 ms
TTFT101 ms3.3 s
Load time2.6 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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest