llama3.2:latest
OLLAMA GGUFllama · 3.2B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
Global Score
73 vs 66
Hardware Fit
100 vs 100
Quality Score
61 vs 52
Hardware
llama3.2:latest hf.co/empero-ai/Qw…
MachineMac MiniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 26.6.2
Archarm64arm64
Power Modeunknownbalanced
Performance
llama3.2:latest hf.co/empero-ai/Qw…
Tokens/sec98.940.4
First chunkN/A93 ms
TTFT125 ms93 ms
Load time2.3 s2.7 s
Memory usage22.1 GB4.7 GB
Memory %35%30%
HW Fit Score Breakdown
llama3.2:latest
Speed
40/50
TTFT
30/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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