hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
llama3.2:latest
OLLAMA GGUFllama · 3.2B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
Global Score
66 vs 73
Hardware Fit
100 vs 100
Quality Score
52 vs 61
Hardware
hf.co/empero-ai/Qw… llama3.2:latest
MachineMacBook ProMac Mini
CPUApple M4Apple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.6.1macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown
Performance
hf.co/empero-ai/Qw… llama3.2:latest
Tokens/sec26.598.9
First chunk447 msN/A
TTFT447 ms125 ms
Load time3.3 s2.3 s
Memory usage4.8 GB22.1 GB
Memory %30%35%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
llama3.2:latest
Speed
40/50
TTFT
30/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
llama3.2:latest
Reasoning
11/20
Coding
14/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate 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