hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
mistral:latest
OLLAMA GGUFllama · 7.2B · Q4_0
Feb 28, 2026 · Apple M4 Pro
Global Score
66 vs 72
Hardware Fit
100 vs 100
Quality Score
52 vs 60
Hardware
hf.co/empero-ai/Qw… mistral:latest
MachineMacBook ProMac Mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown
Performance
hf.co/empero-ai/Qw… mistral:latest
Tokens/sec40.254.3
First chunk101 msN/A
TTFT101 ms124 ms
Load time2.6 s0.0 s
Memory usage4.7 GB9.9 GB
Memory %30%15%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
mistral:latest
Speed
40/50
TTFT
30/20
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
mistral:latest
Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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