hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
llama3.2:3b
OLLAMA GGUFllama · 3.2B · Q4_K_M
Aug 28, 2026 · Intel Core™ i5-10210U
Global Score
66 vs 67
Hardware Fit
100 vs 77
Quality Score
52 vs 63
Hardware
hf.co/empero-ai/Qw… llama3.2:3b
MachineMacBook ProLENOVO 20U30029MB
CPUApple M1 ProIntel Core™ i5-10210U
Cores108
RAM16 GB15 GB
GPUApple M1 ProCometLake-U GT2 [UHD Graphics]
OSmacOS 26.6.2Pop 24.04 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
hf.co/empero-ai/Qw… llama3.2:3b
Tokens/sec40.410.0
First chunk93 ms1166 ms
TTFT93 ms1.2 s
Load time2.7 s6.8 s
Memory usage4.7 GB3.8 GB
Memory %30%25%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
llama3.2:3b
Speed
27/50
TTFT
20/20
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
llama3.2:3b
Reasoning
11/20
Coding
15/20
Instruction
13/20
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