hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
mistral:latest
OLLAMA GGUFllama · 7.2B · Q4_K_M
May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor
Global Score
76 vs 73
Hardware Fit
100 vs 100
Quality Score
66 vs 62
Hardware
hf.co/empero-ai/Qw… mistral:latest
MachineMacBook ProMicro-Star International Co., Ltd. MS-7B79
CPUApple M1 ProAMD Ryzen 5 2600X Six-Core Processor
Cores1012
RAM16 GB16 GB
GPUApple M1 ProNVIDIA GeForce GTX 1080
OSmacOS 26.6.2Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… mistral:latest
Tokens/sec40.331.7
First chunk101 ms102 ms
TTFT101 ms102 ms
Load time2.7 s14.3 s
Memory usage4.5 GB4.8 GB
Memory %28%30%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
mistral:latest
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
mistral:latest
Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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